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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Psikologika : Jurnal Pemikiran dan Penelitian Psikologi dCartesian: Jurnal Matematika dan Aplikasi JURNAL SISTEM INFORMASI BISNIS Prosiding KOMMIT Jurnal Sains dan Teknologi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmiah Kursor Noetic Psychology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Psikodimensia: Kajian Ilmiah Psikologi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics MNJ (Malang Neurology Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Inquiry: Jurnal Ilmiah Psikologi BAREKENG: Jurnal Ilmu Matematika dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) JOURNAL SPORT AREA Philanthropy: Journal of Psychology MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Evangelikal: Jurnal Teologi Injili dan Pembinaan Warga Jemaat Aptisi Transactions on Technopreneurship (ATT) Insight: Jurnal Ilmiah Psikologi Jurnal Abdi Insani Computer Science and Information Technologies Jurnal Sains dan Edukasi Sains SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Indonesian Journal of Applied Research (IJAR) Journal of Science and Science Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya INJURITY: Journal of Interdisciplinary Studies ENDLESS : International Journal of Future Studies d'Cartesian: Jurnal Matematika dan Aplikasi Tesseract: International Journal of Geometry and Applied Mathematics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Prismatika: Jurnal Pendidikan dan Riset Matematika

Adi Setiawan

Universitas Kristen Satya Wacana

Author-ID : 376722

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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CONSTRUCTION OF SUBSTITUTION BOX (S-BOX) BASED ON IRREDUCIBLE POLYNOMIALS ON GF(2^8) Tita, Faldy; Setiawan, Adi; Susanto, Bambang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0517-0528

In the field of modern encryption algorithms, the creation of S-Box is an essential element that plays an important role in maintaining data security in various industries. This article provides a comprehensive review of various S-Box designs, with particular emphasis on essential parameters such as “Average ”, “Average ” and “Non-linearity value”. The main goal is to determine the most optimal S-Box structure to minimize correlation, thereby improving the security and unpredictability of the cryptographic system. Research results indicate that the S-Box characterized by the 1BD hexadecimal code is superior to its counterparts. It has an average value of 4.1953 and an average value of 0.4756. In contrast, the S-Box represented by hexadecimal code 169 displays a relatively lower level of security, with an average d value of 3.8750 and an average value of 0.5156. These results enable security experts and cryptographers to make the correct choice when selecting the S-Box with the minimum correlation value, thereby strengthening cryptographic systems against emerging cyber threats.

S-BOX CONSTRUCTION IN THE ADVANCED ENCRYPTION STANDARD (AES) DEVELOPMENT ALGORITHM IN GF(2^2), GF(2^4) & GF(2^6) Setiawan, Adi; Tita, Faldy; Susanto, Bambang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2329-2344

This research aims to obtain a method for constructing S-boxes based on GF(22), GF(24) and GF(26). A review of the Galois Field GF(2m) is presented for m=1,2,3,4,5 and 6. Furthermore, it is used to construct an S-box based on GF(22), GF(24) and GF(26). Based on these results, later it can be developed for S-box construction in the AES algorithm which uses the Galois Field GF(2m) for m>=10.

Dukungan Sosial, Ketangguhan Pribadi, dan Stres Akulturasi Mahasiswa Nusa Tenggara Timur di Salatiga Keo, Jitro Jemryes; Kristinawati, Wahyuni; Setiawan, Adi
Psikologika: Jurnal Pemikiran dan Penelitian Psikologi Vol. 25 No. 1 (2020)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/psikologika.vol25.iss1.art2

Penelitian yang berfokus pada pengaruh dukungan sosial dan ketangguhan pribadi (hardiness) terhadap stres akulturasi masih perlu dikaji lebih lanjut. Hipotesis penelitian ini adalah adanya pengaruh simultan dan parsial antara dukungan sosial dan ketangguhan pribadi terhadap stres akulturasi pada mahasiswa perantau asal Nusa Tenggara Timur (NTT) di Salatiga. Alat ukur yang digunakan dalam penelitian ini adalah skala Stres Akulturasi, skala Ketangguhan Pribadi, dan skala Dukungan Sosial. Hasil pengumpulan data penelitian ini dianalisis menggunakan analisis regresi linier. Penelitian ini melibatkan 85 orang mahasiswa asal NTT. Hasil uji statistik menunjukkan bahwa secara simultan, ketangguhan pribadi dan dukungan sosial berpengaruh terhadap stres akulturasi dengan nilai F = 5.32 dan tingkat signifikansi 0,007 (p < .05); tampak secara parsial, ketangguhan pribadi tidak berpengaruh terhadap stres yang ditunjukkan dari nilai t = -1.74 dan p > .05. Di sisi lain, dukungan sosial memberikan pengaruh yang signifikan terhadap stres akulturasi yang ditunjukkan dari nilai t = -2.33 dan p < .05. Selanjutnya, berdasarkan analisis koefisien determinasi (R = .115), variabel ketangguhan pribadi dan dukungan sosial berpengaruh sebesar 11.50% terhadap stres akulturasi dengan sumbangan efektif variabel ketangguhan pribadi sebesar 4.39%, dukungan sosial sebesar 7.12%, dan sisanya sebesar 89.50% dipengaruhi oleh variabel lainnya yang tidak diteliti dalam penelitian ini. Hasil ini menunjukan bahwa dukungan sosial memiliki peran yang penting dalam menurukan stres akulturasi.Kata Kunci: dukungan sosial, ketangguhan pribadi, stres akulturasiSocial Support, Hardiness, and Acculturation Stress among East Nusa Tenggara’s Students in SalatigaAbstract. This research related to the influence between social support and hardiness on acculturative stress is still need to be examined further. The hypothesis of this study indicated that there was a simultaneous and partial influence between social support and hardiness on acculturative stress among overseas students from East Nusa Tenggara (NTT) in Salatiga. The data is collected by using Acculturation Stress scale, Hardiness scale, and Social Support scale as well as analyzed by linear regression analysis. This study involved 85 students from NTT. Statistical test results indicate that simultaneous hardiness and social support affect the acculturative stress with a value of F = 5.32 with a significance level of .007 (p < .05); and it appears that partially hardiness has no effect on stress as indicated by the value of t = -1.74 and p > .05. On the other hand, social support has a significant influence on acculturation stress as indicated by the value of t = -2.33 and p < .05. Furthermore, based on the analysis of the coefficient of determination (R = .115), hardiness and social support variables influence 11.50% on acculturative stress with an effective contribution of hardiness variables at 4.39%, social support at 7.12%, and the remaining 89.50% were influenced by other variables which were not examined in this study. The results indicate that social support contributed greater on acculturative stress compared to hardiness.Keywords: hardiness, social support, stress acculturationArticle History:Received 6 November 2019Revised 24 February 2020Accepted 30 May 2020

Accuracy of long short-term memory model in predicting YoY inflation of cities in Indonesia Leipary, Harfely; Setiawan, Adi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3887-3896

Our research evaluates the effectiveness of the long short-term memory (LSTM) model in forecasting annual year-on-year (YoY) inflation across 82 cities in Indonesia based on time series data from BPS economic reports for 2014-2024. This study tests the accuracy of the model in reconstructing past inflation patterns, then evaluates the capabilities and limitations of the model in various urban area contexts with the root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination(R2) metrics. The findings show that LSTM performs well in metropolitan areas such as Jakarta, Bandung, and Surabaya with R2values >0.8 and the lowest MAPE of 10.91% in Jakarta. However, in small cities with higher economic volatility such as Tanjung Pandan, the model shows significant prediction errors (R²<0.50 and MAPE up to 283.11%). Moderate performance (0.50≤ R²≤0.80) was found in cities such as Palembang, Semarang, and Makassar, reflecting the model's adaptive ability to moderate inflation patterns. These results emphasize the important role of structured economic data in improving the reliability of predictions, so that the policy implications of this study include the use of the LSTM model as an early warning system by fiscal and monetary authorities, as well as the need for a data-based inflation control strategy to strengthen regional and national economic resilience in supporting sustainable development towards Indonesia Emas 2045.

Comparison of Convolutional Neural Network (CNN) Models in Face Classification of Papuan and Other Ethnicities Yenusi, Yuni Naomi; Suryasatriya Trihandaru; Setiawan, Adi
JST (Jurnal Sains dan Teknologi) Vol. 12 No. 1 (2023): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jstundiksha.v12i1.46861

Klasifikasi objek pada citra menjadi salah satu problem dalam visi komputer. Komputer diharapkan dapat meniru kemampuan manusia dalam memahami informasi citra. Salah satu pendekatan yang berhasil yaitu dengan menggunakan Jaringan Syaraf Tiruan (JST) dimana pendekatan ini terinspirasi dari jaringan syaraf pada manuasia yang dikembangkan lebih jauh menjadi Deep Learning. Convolutional Neural Network (CNN) merupakan salah satu jenis Deep Learning yang sangat terkenal dengan keemampuannya dalam melakukan klasifikasi citra. Dengan mengimplementasikan beberapa model CNN akan dilakukan perbandingan antara model arsitektur CNN dalam klasifikasi wajah etnis Papua dan wajah etnis lainnya untuk melihat model dengan akurasi terbaik pada kasus ini. Model CNN yang dipilih yaitu VGG16, VGG-19, ResNet-50 dan MobileNet v1 dan Mobilenet v2. Model terbaik adalah model arsitektur Mobile Net v1 untuk Pengenalan Wajah Papua dan Non Papua dengan akurasi 95%. Pada penelitian ini disimpulkan bahwa MobileNet V1 adalah model yang terbaik. Model ini menghasilkan akurasi, precision, recall, dan f1-score dengan nilai 95%, 99%, 91%, dan 94%. Adapun saran untuk penelitian selanjutnya adalah dilakukan modifikasi terhadap layer pada masing-masing molde untuk meninggkatkan performa model arsitektur CNN.

Optimizing Automated Machine Learning for Ensemble Performance and Overfitting Mitigation Migunani, Migunani; Setiawan, Adi; Sembiring, Irwan
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.763

Automated Machine Learning (AutoML) has revolutionized model development, but its impact on ensemble diversity and overfitting reduction remains underexplored. This Systematic Literature Review (SLR) analyzes 107 studies published between 2020 and 2024 to explore how AutoML enhances ensemble diversity, mitigates overfitting, and the challenges hindering its integration. Unlike previous reviews focusing on AutoML or ensemble methods independently, this study synthesizes their intersection and identifies key research trends. The findings reveal that AutoML improves ensemble robustness through automated hyperparameter tuning, meta-learning, and algorithmic blending while facing trade-offs in computational cost and interpretability. Four main themes emerge, integration mechanisms (19.6%), overfitting mitigation (26.2%), performance trade-offs (28.6%), and integration barriers (26.2%). Empirical results indicate that AutoML ensembles outperform traditional models by 22–41% in accuracy but require approximately 3.2 times higher computational resources. Hybrid AutoML and Explainable AI frameworks are recommended to balance accuracy and transparency. Theoretically, this study advances understanding of the synergy between AutoML and ensemble learning, while practically providing guidance for deploying reliable AI systems in sectors like healthcare, finance, and digital business. Policy implications align with the EU AI Act and the US Executive Order on trustworthy AI, supporting Sustainable Development Goals 9 and 8.

Penentuan Dua Lokasi Lumbung Padi dengan Menggunakan Metode Grid di Provinsi Kalimantan Tengah Wijayanti, Yunita Puput; Setiawan, Adi; Parhusip, Hanna Arini
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 6: Desember 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Perancangan lokasi pendistribusian pangan merupakan salah satu kegiatan yang dilakukan pemerintah untuk memenuhi kebutuhan pokok pangan masyarakat yang bisa berubah secara dinamis dari waktu ke waktu. Metode Grid diaplikasikan dalam penelitian ini untuk menentukan lokasi yang tepat untuk lumbung padi dalam upaya pendistribusian bahan pangan di Provinsi Kalimantan Tengah dengan memperhatikan jarak dan biaya transportasi. Tidak hanya itu, dengan bantuan metode grid untuk penentuan kandidat lokasi lumbung padi juga membantu dalam proses penelitian. Berdasarkan data yang berupa koordinat lokasi kantor kabupaten, jumlah penduduk, dan banyaknya produksi padi di Provinsi Kalimantan Tengah dapat diperoleh dua lokasi lumbung padi terdapat pada koordinat geografis (-1.8,113.0) tepatnya di Desa Koeling, Kecamatan Pundu, Kabupaten Kotawaringin Timur, Kalimantan Tengah dan (-3.0,114.2) tepatnya di Desa Pangkuh, Kecamatan Pangkoh Hilir, Kabupaten Pulang Pisau, Kalimantan Tengah dengan total cost sebesar Rp. 55,287,393.08. AbstractThe design of food distribution location is one of the goverment activity to fulfill the main need of society that can change dynamically over time. The Grid method was applied in this study to determine the exact location the granary for the distribution of food in Central Borneo Province by pay attention distance and transportation cost. Not only that, with the help of the grid method for determining candidates for granary locations it also help in the research process. Based on the data in the form of the coordinates of the location of the district office, population, and the amount of rice production in Central Borneo Province, two granary locations are located at the geographical coordinates (-1.8,113.0) precisely in Koeling Village, Pundu Sub-district, East Kotawaringin District, Central Borneo, and (-3.0,114.2) precisely in Pangkuh Village, Pangkoh Hilir Sub-district, Pulang Pisau District, Central Borneo with a total cost Rp. 55,287,393.08.

PENGABDIAN MASYARAKAT UNTUK PEMBELAJARAN CODING ARTIFICIAL INTELLIGENCE KEPADA SISWA SMP KRISTEN WONOSOBO Trihandaru, Suryasatriya; Parhusip, Hanna Arini; Kurniawan, Johanes Dian; Susanto, Bambang; Setiawan, Adi; Nugroho, Didit Budi
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1536

Artificial intelligence and the Internet of Things (AIOT) have been widely used by various activities, especially in the millennial generation. However, scientific technology has not been widely introduced in education. Additionally, schools experience a decline in student enrollment every year, so it is necessary to carry out innovative learning actions that can be introduced to the community through students. Innovation learning is demonstrated by providing coding lessons that students have never done before so that AIOT becomes part of the learning. Therefore, coding as a learning method is introduced to junior students so they can get to know AIOT early. The method used is making a device called AIOT-kit with training to be able to directly monitor environmental parameters such as temperature and humidity. The Internet of Things was introduced, which uses ThinkSpeak as a dashboard for making observations. This device was made by students so that they could follow the process from making the AIOT-kit hardware and related coding to utilization. It is shown that AIOT-kit is not yet known to students, including how to code in it. AIOT is an urgent need to access developing related technology. This activity is part of the service team's efforts to make a positive contribution to the community and school environment. After carrying out this activity, there was a change in how students could make their own AIOT-kit devices while also coding. The school even received an award from the local government for the innovation activities carried out during that period.

Analysis of Attack Detection on Log Access Servers Using Machine Learning Classification: Integrating Expert Labeling and Optimal Model Selection Ridwan, Mohammad; Sembiring, Irwan; Setiawan, Adi; Setyawan, Iwan
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.49424

Purpose: As the complexity and diversity of cyberattacks continue to grow, traditional security measures fall short in effectively countering these threats within web-based environments. Therefore, there is an urgent need to develop and implement innovative, advanced techniques tailored specifically to detect and address these evolving security risks within web applications.Methods: This research focuses on analyzing attack detection in log access servers using machine learning classification with two primary approaches: expert labeling integration and best model selection. Expert labeling determines whether log entries are safe or indicate an attack.Result: Validation in labeling was applied using different datasets to minimize errors and increase confidence in the resulting dataset. Experimental results show that the Decision Tree and Random Forest models have nearly identical accuracy rates, around 89.3%-89.4%, while the ANN model has an accuracy of 81%.Novelty: This study proposes a fusion of expert knowledge in labeling log entries with a rigorous process of selecting the best classification model. This integration has not been extensively explored in previous research, offering a novel approach to enhancing attack detection within web applications. The research contribution lies in the integration of expert security assessment and the selection of the best model for detecting attacks on server access logs, along with validating labels using various datasets from different log devices to enhance confidence in the analysis results.

MINDFULNESS DAN PENERIMAAN DIRI PADA REMAJA DI ERA DIGITAL Waney, Natalia Christy; Kristinawati, Wahyuni; Setiawan, Adi
Insight: Jurnal Ilmiah Psikologi Vol. 22 No. 2: Agustus 2020
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/psikologi.v22i2.969

Di era digital ini, remaja melakukan eksplorasi dan mengekspresikan diri di media sosial. Media sosial menyebabkan remaja rentan terlibat dalam cyberbullying . Hal ini membuat remaja malu dengan diri sendiri dan berusaha menampilkan citra ideal di media sosial sehingga kurang mampu menerima diri apa adanya. Studi ini merupakan studi literatur yang mencoba menelusuri bagaimana mindfulness dan penerimaan diri pada remaja di era digital. Mesin pencari (search engine) digunakan sebagai alat mencari data. Ditemukan 13 literatur dan penelitian dan digunakan sebagai sumber data. Penelitian ini menyimpulkan bahwa latihan mindfulness bisa dijadikan alternatif dalam meningkatkan penerimaan diri pada remaja, dan mindfulness dapat dipraktikkan dengan memanfaatkan aplikasi smartphone. Namun, belum ditemukan penelitian yang secara khusus membuktikan efektivitas penggunaan aplikasi mindfulness dalam meningkatkan penerimaan diri pada remaja di Indonesia.

Co-Authors Adella Septiana Mugirahayu Aldian Umbu Tamu Ama Alfida Tegar Nurani Alicia Anggelia Lumbantoruan ALOYSIUS JOAKIM FERNANDEZ Amazia Ananta Prabaswara Ariani, Dwi Setya Atina Rahmatalia Bambang Susanto Baskoro Arie Nugroho Bayu Wijayanto Beni Utomo Christiana Hari Soetjiningsih Christina Maya Indah Susilowati D. B. Nugroho, D. B. Daivi Wardani, Daivi Daniel Bramantyo Ranu Bagaskoro Delsylia Tresnawaty Ufi Denny Indrajaya Denny Indrajaya Deswita, Yenny Dewi Anisa Istiqomah Dewi Lukitasari Didit Budi Nugroho Dimas Anditha Cahyo Sujiwo Djoko Hartanto E. D. Saputri, E. D. Eko Sediyono Elsa Septyana Endang Sulistyaningsih Faldy Tita Faldy Tita Fika Widya Pratama Florentina Tatrin Kurniati Gloria Meydelina Haay, Happy Alyzhya Hanna Arini Parhusip Harfeley Leipary Hari Slamet Trianto Hari Slamet Trianto Hariyanto Hariyanto Hartiningsih, Tri Henderi . Henry Junus Wattimanela Ignatius Agus Supriyono Ilham Hizbuloh Irwan Sembiring Iwan Setiawan Iwan Setyawan Iwan Setyawan Joko Siswanto JT Lobby Loekmono Keo, Jitro Jemryes Kurniawan, Titus Antonius David Leipary, Harfely Lenox Larwuy Leonardo Refialy Leonardo Refialy, Leonardo Leopoldus Ricky Sasongko Lilik Linawati Lindin Anderson Lydia Soepriyani Fallo masipupu, Frangky Aristiadi Migunani Migunani Mitha Febby R. Donggori Mitha Febby R. Donggori Modjo, Marchella Ellena Mohammad Ridwan Nafisah Riskya Hasna Ninda Lutfiani Olivia Rumahpasal panglipur, indah rahayu Pariama, Aprillia Mauren Pradani, Wynona Adita Priatna , Wowon Prihanto Ngesti Basuki Purbaratri, Winny Purwoko, Agus Qurotul Aini Rachayu, Laras Andriani Rachel Wulan Nirmalasari Wijaya Rachel Wulan Nirmalasari Wijaya Riana Dewi Romauli Basaria Roy Rudolf Huizen Rudhito, Andy Rumahpasal, Olivia Salomina Patty SARI, EMMA NOVITA Setivani, Febi Sri Suwartiningsih Sri Yulianto Joko Prasetyo Sulistio Sulistio Suryasatriya Trihandaru Sutarto Wijono Tamaela, Jemaictry Theo Sarita, Fetriks Theophilus Wellem Tiara Utary Grace Moelyono Tri Wahyuningsih Tundjung Mahatma Untung Rahardja Untung Rahardja Vikky Aprelia Windarni Vikky Aprelia Windarni Vincentia Pawestri Wahyuni Kristinawati Waney, Natalia Christy Wattimanela, Henry Junus Wibowo, Mars Caroline Wijayanti, Yunita Puput Windarni, Vikky Aprelia Wisnu Anendya Sekti Yenusi, Yuni naomi Yulius Yusak Ranimpi

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