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All Journal Jurnal Penelitian Saintek Teika Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Annual Research Seminar ANDHARUPA CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System MBR (Management and Business Review) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Sisfokom (Sistem Informasi dan Komputer) KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ilmiah Media Sisfo The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Pengabdian Masyarakat Bumi Raflesia JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Jurnal Sistem Komputer dan Informatika (JSON) Teknomatika (Jurnal Teknologi dan Informatika) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Decode: Jurnal Pendidikan Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Masyarakat Madani Indonesia SmartComp Jurnal Informatika: Jurnal Pengembangan IT The Indonesian Journal of Computer Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika)
Allsela Meiriza, Allsela
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Evaluasi Proses Bisnis Pelaksanaan Survei Angkatan Kerja Nasional Menggunakan Metode Business Process Improvement (BPI) Putri Setiyawati; Pacu Putra; Nabila Rizky Oktadini; Allsela Meiriza; Putri Eka Sevtiyuni
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 9 No 2 (2024): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v9i2.3200

Abstract

Badan Pusat Statistik Kabupaten Ogan Ilir merupakan lembaga pemerintahan yang memiliki tanggung jawab dalam pengumpulan dan pengolahan data statistik, khususnya terkait Survei Angkatan Kerja Nasional. Survei ini dilakukan untuk mengumpulkan informasi data seperti jumlah pekerja, pengangguran, dan aspek ketenagakerjaan lainnya. Namun, dalam pelaksanaannya terdapat banyaknya proses yang berjalan, sehingga mengakibatkan lamanya waktu yang dibutuhkan. Menganalisis dan menyempurnakan prosedur bisnis yang saat ini digunakan oleh BPS Kabupaten Ogan Ilir adalah tujuan dari penelitian ini. Analisis validasi proses, waktu, dan simulasi sumber daya, serta proses bisnis yang direkomendasikan, semuanya disimulasikan menggunakan Bizagi Modeler. Proses bisnis survei dievaluasi dan ditingkatkan melalui penerapan metodologi Business Process Improvement (BPI). Bisnis dan organisasi pemerintah dapat meningkatkan produktivitas di tingkat proses bisnis dengan bantuan kerangka kerja Business Process Improvement (BPI). Sebelum memodelkan alur proses bisnis, akan diterapkan salah satu fase dari BPI, yaitu streamlining yang berfungsi menyederhanakan proses bisnis saat ini menjadi lebih optimal dalam pemanfaatan sumber daya dan waktu. Pemodelan proses bisnis dapat digambarkan dengan diagram yang disebut Business Process Model and Notation (BPMN). Hasil menunjukkan bahwa proses bisnis baru (to be) membutuhkan 27 hari, 21 jam, dan 39 menit, sedangkan proses bisnis lama (as is) membutuhkan 38 hari dan 14 jam. Selain itu, penghematan waktu sekitar 10 hari, 4 jam, dan 21 menit ditunjukkan dalam perbandingan ini.
Comparative Study of Naive Bayes and SVM for E-Commerce Sentiment Classification on Shopee Yoga Fradana; Cahyo Adi Nugraha; Frans Nicko Apriansyah; Tri Mutiara Illahi; Ken Ditha Tania; Allsela Meiriza
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9740

Abstract

This study compares the performance of Naive Bayes and Support Vector Machine (SVM) for sentiment classification of men’s shirt product reviews on Shopee. A dataset of 500 reviews was collected via web scraping and processed through case folding, tokenizing, stopword removal, and stemming, followed by TF-IDF feature extraction. The data was split at an 80:20 ratio and evaluated using accuracy, precision, recall, and F1-score. The main contribution of this study is demonstrating that despite both algorithms achieving equal overall accuracy of 93%, SVM outperforms Naive Bayes in detecting negative sentiment on a class-imbalanced dataset, with SVM attaining a negative class recall of 0.87 and F1-score of 0.88 compared to 0.80 and 0.87 for Naive Bayes. These findings provide practical guidance for selecting an appropriate classifier in imbalanced e-commerce review classification tasks.
DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Royan Dwi Saputra; Rahmat Izwan Heroza; Dwi Rosa Indah; Allsela Meiriza; Pacu Putra; Ermatita Ermatita
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (945.278 KB) | DOI: 10.34288/jri.v4i4.174

Abstract

Abstract The Infant Mortality and Toddler Mortality rates are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the family health directorate of the health ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University. Find problems related to the absence of instruments in digital form, which are useful for conducting studies on infant and under-five mortality problems in health facilities, which were expected to assist in recording and reporting the review process run more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the use context, specifying the user requirements, designing the solutions, and evaluating against requirements. The results of the study were that the average usability score was 94, meaning that this application's prototype has been made according to the needs and desires of end-users. Also, the prototype of this application is feasible to implement.
PELATIHAN PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT GURU SMP/MTs YANG TERGABUNG MUSYAWARAH GURU MATA PELAJARAN (MGMP) KOTA PANGKALPINANG Ali Ibrahim; Allsela Meiriza; Fathoni -; Yadi Utama; M. Rudi Sanjaya; Beriadi Agung Nur Rezqe; Akbar Alzaini
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 3 No. 1 (2020): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Guru mata pelajaran dituntut untuk memiliki kemampuan professional yang sesuai dengan Standar Nasional Pendidikan, yaitu setiap guru harus memiliki kompetensi pedagogic, kepribadian, professional dan social. Pengembangan keempat kompetensi tersebut perlu terus dikembangkan, baik melalui pendidikan, pelatihan, maupun kerja kelompok atau organisasi profesi guru. Rendahnya hasil belajar siswa salah satunya disebabkan karena guru belum menggunakan media animasi dalam proses pembelajaran. Proses pembelajaran masih berlangsung secara konvensional, dimana aktivitas menulis lebih dominan dilakukan oleh guru dalam mengajar. Dengan pelatihan program Quipper School dapat meningkatkan keterampilan para guru dalam membuat media ajar berbasis multimedia. program Quipper School adalah platform sekolah digital tanpa biaya. Melalui platform ini, guru dapat mengirim dan mengelola materi pembelajaran, ujian, serta nilai siswa. Metode yang digunakan dalam pelatihan adalah dengan cara peragaran dan demontrasi program Quipper School. Dari hasil kuisiner setelah pelatihan 90 % peserta berhasil dalam membuat media ajar.
ANALISIS KOMPARATIF MODEL DATA MINING DALAM PREDIKSI KETEPATAN PENYELESAIAN SERVICE LEVEL AGREEMENT Aisyah Fatimah; Ken Ditha Tania; Allsela Meiriza
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4943

Abstract

Kepatuhan terhadap Service Level Agreement (SLA) sangat penting dalam manajemen layanan teknologi informasi untuk menjamin kualitas layanan dan mengatur ekspektasi penyelesaian insiden. Namun, banyak organisasi kesulitan memprediksi apakah tiket insiden akan memenuhi SLA, yang dapat menyebabkan ketidakpuasan pengguna, eskalasi masalah, dan beban kerja tinggi bagi tim IT. Tingginya volume tiket harian membuat identifikasi manual terhadap tiket berisiko tinggi menjadi tidak efektif. Penelitian ini bertujuan mengembangkan model klasifikasi berbasis machine learning untuk memprediksi kepatuhan tiket terhadap SLA. Empat algoritma dievaluasi: XGBoost, Random Forest, Decision Tree, dan Logistic Regression. Tahapan mencakup preprocessing, encoding fitur kategorikal, seleksi fitur berbasis Random Forest, penyeimbangan data menggunakan SMOTE, dan hyperparameter tuning dengan Optuna. Hasil menunjukkan XGBoost memiliki performa terbaik dengan akurasi 99,98%, precision 0,9437, recall 0,9710, dan F1-score 0,9571. Selain akurat dan efisien, model ini unggul secara interpretatif melalui SHAP, yang menjelaskan kontribusi tiap fitur. Kesimpulannya, XGBoost direkomendasikan sebagai model paling andal untuk menjadi alat bantu strategis bagi manajer layanan TI dalam mengidentifikasi insiden yang berisiko tinggi gagal memenuhi SLA.
Hybrid Machine Learning for Knowledge Discovery in E-Commerce Reviews Jeremiah Alwin Siahaan; Lailla Syal Syabilla; M. Thoriqul Fadli; Mei Intan Natasyah; Allsela Meiriza; Ken Ditha Tania; Ahmad Rifai
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12635

Abstract

The rapid growth of e-commerce platforms like Tokopedia has triggered a massive accumulation of over 65,000 customer reviews, yet it is often accompanied by information pollution in the form of non-informative reviews that hinder consumer decision-making processes. This research aims to extract new knowledge regarding these review characteristics through the implementation of the Knowledge Discovery in Database (KDD) framework, integrating a hybrid K-Means Clustering and Random Forest algorithm. Diverging from conventional classification approaches, this study utilizes K-Means as an exploratory instrument to naturally map six latent topic patterns of reviews based on their textual structure. Experiments were conducted on 35,000 data samples using TF-IDF features enriched by cluster labels as structural predictors. The results indicate that the hybrid model achieves 94.41% accuracy with an F1-score of 0.90 for the non-informative class, showing high stability via 5-Fold Cross-Validation (94.56% ± 0.19%) . The most crucial knowledge discovery is evidenced through SHAP analysis, where the cluster feature ranks 7th out of 1,001 predictor features, confirming that semantic grouping provides a richer structural context than pure lexical features . Furthermore, error analysis reveals specific linguistic challenges such as sarcasm and semantic ambiguity as constraints in automated review detection . This research provides a managerial contribution to e-commerce platforms in enhancing information quality and mitigating information overload issues.
ANALYSIS OF SEISMICITY ANOMALIES IN SULAWESI USING DBSCAN BASED ON USGS DATA (2021–2026) Muhammad Dzaky Hasyim; Muhammad Wahyu Hikmalsyah; Gabriel Sebastian Santoso; Ken Ditha Tania; Allsela Meiriza; Ahmad Rifai
JIKO (Jurnal Informatika dan Komputer) Vol 9 No 2 (2026)
Publisher : Program Studi Teknik Informatika Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v9i2.11728

Abstract

Sulawesi is one of Indonesia's most tectonically complex regions, situated at the meeting point of major plates and active fault systems, which results in significant seismic activity. This study aims to analyze seismicity anomalies in Sulawesi from 2021 to 2026 using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm applied to United States Geological Survey (USGS) data. The methodology involves a hybrid approach for parameter optimization, utilizing both the K-Distance Graph (KneeLocator) and Grid Search to ensure results are geologically representative. From an initial dataset of 859 events, 839 earthquake records were processed after geographic filtering, showing an average magnitude of 4.80 and an average depth of 70.15 km. The analysis reveals that the optimal parameters (ε = 0.2897 and MinPts = 3) produced 25 distinct clusters that align with real geological structures such as the Palu-Koro Fault and the Molucca Sea subduction zone. The algorithm successfully identified 66 points (7.87%) as seismic anomalies or noise, representing sporadic tectonic activity outside primary density zones. Furthermore, Convex Hull visualization identified a significant "seismic gap" between the Palu-Koro segment and Southeast Sulawesi, indicating a high-risk zone for potential future energy release. These findings demonstrate that density-based clustering is highly effective for mapping seismic hazards in complex tectonic regions, providing vital data for sustainable disaster mitigation planning in Sulawesi.
Co-Authors Abdurahman, Gibral Adhiyasa, Chandra Julian Adriansyah, Rizki Ahmad Rifai Ahmad Rifai Ahmad Rifai Ahmad Rifai Aisyah Fatimah Akbar Alzaini Akbar Alzaini Al Fachrozi, Muhammad Al-Farisy, M Hadi Alfarizi, M. Alfitrah, Intan Aidita Ali Ibrahim Alinda, Yelli Nur Alvico, Alvico Alvines, Mahendi Alya Zalfa Chairunnisa Alzaini, Akbar Amanda, Bella Rizkia Anadia, Qothrunnada Wafi Ananda Khoirunnisa Andini Bahri, Cheisya Andriani, Sari Ani Nidia Listianti, Ani Nidia Anindya Putri, Salsa Anna Dwi Marjusalinah Annisa Tri Ning Tyas Apriansyah Putra Archi Daffa Danendra, Muhammad Ari Wedhasmara Ariyani, Ishlah Putri Ariyanti, Putri Arnan, Sefian Arvhi Randita Setia Athallah Ubaid, Deni Ayu, Nabila Riska Ayuningtiyas, Pratiwi Az-Zahra, Nanda Salsabila Azera Pramesty Bayu Wijaya Putra Beriadi Agung Nur Rezqe Billan, Angel Caroline Cahyo Adi Nugraha Chandra Julian Adhiyasa Cindy Dinata Cynthia Sherina Fadeli Danendra, Devano Dedy Kurniawan Deni Lidianti Desty Rodiah Devano Danendra Dinda Lestarini Dinna Yunika Hardiyanti Dinna Yunika Hardiyanti Dinna Yunika Herdiyanti Dwi Rosa Indah Endang Lestari Ruskan Endang Lestari Ruskan Epriyanti, Nadia Ermatita - Fahren Affandi Faizah, Ovie Nur Fathoni - Fathoni - Fatimah Salsabila Firda, Hiliah Frans Nicko Apriansyah Gabriel Sebastian Santoso Gultom, Gina Destia Gusti Barata Hakim, Adzka Fahmi Aulia Hardini Novianti Hardini Novianti Hardini Novianti Hardini Novianty Ichsan Farel Rachmad, Muhammad Idpal, Idpal Imam Akbar Inayah, Anna Fadilla Intan Aidita Alfitrah Irmawati Irmawati Irwansyah, Muhammad Aziiz Izzan Fieldi, Muhammad Jackson Imanuel Manurung Jaidan Jauhari Jambak, Muhammad Ihsan Jefven Fernando Jeremiah Alwin Siahaan Jonathan Pakpahan Juliyanti, Tamara Karima, Dzakiah Aulia Karimsyah Lubis, Muhammad Karisa Anjani Fakhri Ken Dhita Tania Ken Dhita Tania Ken Dhita Tania, Ken Dhita Ken Ditha Tania Ken Ditha Tania Khairani, Annisa Khoiriyah Harahap, Dayana Khoirusy Syafaat Lailla Syal Syabilla Larasati, Salsabila Lifiano Jamot Munthe, Gabriel Luh Sri Mulia Eni M Naufal Hisyam M Rifki Ali M, Nys Marliza Tiara M. Ilham Fahlevi M. Rudi Sanjaya M. Thoriqul Fadli Maharani, Wardah Shifa Maretta, Aulia Maretta, Aulia Pinkan Mariska, Inneke Via Marpaung, Xenia Clarissa Valencia Mei Intan Natasyah Meiriza, Viola Meitiana Audya Merizka Azzahra Mira Afrina Mohd Rizky Putra Pratama Muhamad Edric Rasyid Muhammad Aidil Fitri Syah Muhammad Ali Buchari Muhammad Azmi Zaky Muhammad Dzaky Hasyim Muhammad Husni Syahbani Muhammad Ihsan Muhammad Imam Riadillah Muhammad Wahyu Hikmalsyah Mulyadi Mulyadi Munaspin, Zahra Diva Putri Nabila Oktadini Nabila Riska Ayu Nabila Rizki Oktadini Nabilaputri, Silvia Nachwa, Syakillah Nadia Ayu Safitri Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Nawirah Athqiyah Novitia Chinoi Nurul Izmy Nur’Aini, Risma Nyimas Silvia Oktadini, Nabila Oktadini, Nabila Rizky Onkky Alexander Pacu Putra Pacu Putra Padlefi, Muhamad Riza Pakpahan, Jonathan Paulus Paskah Lino Susilo Perdani, Tharisa Antya Pinkasari, Aulia Putri Ariyanti Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtyuni Putri Mutiara Arinie Putri Setiyawati Putri, Adetya Rielisa Putri, Meiyin Monica Amilia Putri, Nyayu Dwi Tarisa RA Aliffyaa Ramadhani Rafika Octaria Ningsih Rafli Maulana, Muhammad Rahmat Izwan Heroza Ramadhan Putra Pratama, Muhammad Ramadhan, Kumara Aditya Ramadhan, Muhammad Gilang Rangga Aderiyana, Fakih Rani Mardiah Ravi Wijayanto, Muhammad Rezeki, Yunika Tri Rezqe, Beriadi Agung Nur Ricy Firnando Rido Zulfahmi Rika Septiana Riska Yunita Risma Nur Aini Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Rahmadhani Rizki Kurniati Rizky Herdiansyah, Muhammad Rizky Sawitri Rizkyllah, Anabel Fiorenza Rizqi, Ahmad Fadhil Rositiani, Ely Royan Dwi Saputra RR. Ella Evrita Hestiandari Salsabila, Fatimah Sanjaya, M. Rudi Saputri, Sonia Dwi Sari Andriani Sarifah Putr Raflesia Sarifah Putri Raflesia Sasmita, Ruth Mei Sawitri, Rizky Sella Juniastia Marsya Saputri Septhia Charenda Putri Sevtiyuni, Putri Eka Simanullang, Eka Darmayanti Susanti, Helen Susilo, Paulus Paskah Lino Syahbani, Muhammad Husni Syarief Albani, Muhammad Tharisa Antya Perdani Theresia Pardede, Eva Titiana, Nuke Merisca Tri Mutiara Illahi Tri Zafira, Zahra Tsabitah, Laila Vanisa Amalia Putri Via Mariska, Inneke Wahyudi, Muhammad Iqbal Wulan Dari, Atikah Yadi Utama Yadi Utama Yasir Alghifari, Muhammad Yasyfi Imran, Athallah Yelli Nur Alinda Yoga Fradana Yunika Hardiyanti, Dinna Yunita Yunita Zaki, Imam Syahputra Zaqqi Yamani Zwesty Quatra