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Dewi Fatmarani Surianto

Universitas Negeri Makassar

Author-ID : 4084971

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Analisis Metode Fuzzy C-Means (FCM) dalam Menentukan Performansi Kinerja Karyawan Lapendy, Jessica Crisfin; Resky, Andi Aulia Cahyana; Surianto, Dewi Fatmarani
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 1 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n1.29-41

Tercapainya sasaran perusahaan di setiap tahunnya dipengaruhi oleh kualitas sumber daya manusia atau karyawan yang dimiliki oleh perusahaan terkait. Kualitas ini berkaitan dengan kompetensi yang dimilikinya, baik itu dalam aspek skill maupun knowledge. Untuk melihat kualitas dari karyawan yang ada di perusahaan terkait, perlu dilakukan penilaian performansi kinerja karyawan. Oleh karena itu, penelitian ini bertujuan untuk menilai performansi kinerja karyawan yang ada di salah satu perusahaan swasta Makassar yang sebelumnya melakukan penilaian dengan melihat dari segi keuangan dan program kerja yang berhasil dipenuhi oleh setiap divisi. Perlunya penilaian kinerja adalah agar dapat membantu Human Resource Development (HRD) ataupun manajer dalam mengambil keputusan yang berkaitan dengan prestasi yang telah dicapai oleh setiap karyawan. Dalam penilaian kinerja karyawan ini digunakan metode Fuzzy C-Means yang merupakan teknik pengklasteran data yang ditentukan oleh derajat keanggotaan. Setelah tahapan-tahapan metode penelitian dilakukan dengan menggunakan Matlab, dihasilkan 3 klaster yang mengelompokkan kualitas karyawan menjadi karyawan dengan performansi kinerja baik sebanyak 11 karyawan, kinerja sedang sebanyak 11 karyawan, dan kinerja buruk sebanyak 6 karyawan. Hasil pengklasteran tersebut didasarkan pada hasil pengolahan data dari 5 kriteria penilaian, yaitu kejujuran, kedisiplinan, kepemimpinan, kehadiran, dan kualitas kerja. Di antara kelima kriteria tersebut, terdapat 2 kriteria yang cukup mempengaruhi hasil penilaian performansi kinerja karyawan di perusahaan terkait, yaitu kepemimpinan dan kualitas kerja. Adapun hasil evaluasi jumlah klaster dilakukan menggunakan metode silhouette coefficient dengan nilai tertinggi didapatkan yakni 0,5653 pada jumlah klaster adalah 3. The achievement of company goals each year is influenced by the quality of human resources or employees owned by the company. This quality is related to the competence they have, both in terms of skills and knowledge. To see the quality of employees in related companies, it is necessary to assess employee performance. Therefore, this study aims to assess the performance of existing employees in one of Makassar's private companies that previously conducted an assessment by looking at the financial aspects and work programs that were successfully fulfilled by each division. The need for performance appraisal is to be able to help Human Resource Development (HRD) or managers in making decisions related to the achievements that have been achieved by each employee. In this employee performance assessment, the Fuzzy C-Means method is used, which is a data clustering technique determined by the degree of membership. After the stages of the research method were carried out using Matlab, 3 clusters were produced which grouped the quality of employees into employees with good performance as many as 11 employees, moderate performance as many as 11 employees, and poor performance as many as 6 employees. The clustering results are based on the results of data processing from 5 assessment criteria, namely honesty, discipline, leadership, attendance, and work quality. Among the five criteria, there are 2 criteria that are quite influential in the results of employee performance assessment in related companies, namely leadership and work quality. The results of evaluating the number of clusters are carried out using the silhouette coefficient method with the highest value obtained, namely 0.5653 at the number of clusters is 3.

Pemberdayaan Masyarakat Sekolah melalui Penguatan Literasi Digital Berbasis AI dan AR dalam Eksplorasi Sains di SMAN 4 Barru : Penelitian Surianto, Dewi Fatmarani; Zulfikar, Muh Ihsan; Hasnining, Ayu; Agusyana, Nurrahmah; Nirmala, Putri; Awalia, Andi Dio Nurul
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.2795

The development of digital technology requires teachers to have adequate digital literacy in order to be able to design innovative, relevant, and adaptive learning that meets the needs of students. This activity aims to improve the competence of teachers at SMAN 4 Barru in utilizing AI Chatbot (LioraTa'), ChatGPT, and Augmented Reality (AR) for biology learning. The implementation method was carried out through Participatory Action Research (PAR) involving 26 teachers and students from SMAN 4 Barru. Evaluation was conducted through pre-tests and post-tests as well as direct observation of practice. The first result showed an increase in the average score from 8.896 (74%) on the pre-test to 10.733 (89%) on the post-test, indicating a significant improvement in teachers' understanding of digital literacy. The second result was that teachers acquired practical skills in designing chatbot conversation flows, compiling ChatGPT-based teaching materials, and utilizing AR for biology experiments, making learning more interactive and contextual. The third result was that teachers reported an increase in confidence in using digital technology and awareness of the importance of AI and AR-based learning innovations to support the quality of education. In conclusion, this training successfully had a positive impact on teachers' mastery of concepts, practical skills, and readiness to integrate digital technology into biology learning, while also strengthening their position.

Perbandingan Cosine Similarity dan Weighted Jaccard Similarity dalam Pengembangan Mesin Pencari Perpustakaan Digital Pamput, Jessicha Putrianingsih; Muthmainnah, Aindri Rizky; Surianto, Dewi Fatmarani; Fadilah, Nur
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8773

This study addressed the problem of low relevance in search results within the digital library system of the Department of Informatics and Computer Engineering (JTIK), Universitas Negeri Makassar. The purpose of this research was to improve the accuracy and relevance of search outcomes, enabling users, particularly students, to access academic materials and research references more efficiently. A search engine system was developed using a term-weighting method based on term frequency and document distribution. The system incorporated similarity measurement techniques to evaluate the degree of match between user queries and document content. An experimental approach was applied, which involved observation, data collection, text preprocessing, implementation of term weighting, and the comparison of cosine similarity and Weighted Jaccard similarity for ranking search results. The The evaluation was conducted using the Precision@K metric and a paired t-test to measure the significance of performance differences between methods. The test results showed that Weighted Jaccard obtained an average Precision@K value of 0.933, slightly higher than Cosine Similarity with an average of 0.9. However, Cosine Similarity produced a higher average similarity value. In addition, system testing was conducted in two stages, namely assessing user satisfaction with search results and assessing system performance. These findings confirmed that the combination of term-weighting and cosine similarity effectively enhanced the relevance and performance of digital library search systems.

K-Means++ and TF-IDF for Grouping Library Books by Topic Pamput, Jessicha Putrianingsih; Muthmainnah, Aindri Rizky; Risal, Andi Akram Nur; Surianto, Dewi Fatmarani
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 2 (2025): September 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i2.8272

The grouping of library materials in the Department of Informatics and Computer Engineering (JTIK) at Universitas Negeri Makassar (UNM) is still conducted using a conventional system that relies on predefined categories and librarian intuition. This approach often leads to inconsistencies in book categorization, making it difficult for users to find relevant references efficiently. To address this issue, this research applies the K-Means++ clustering method, which optimizes centroid initialization for more accurate cluster formation. Books are grouped based on the TF-IDF weighting matrix, resulting in six distinct clusters characterized by unique centroid values. Analysis of the top 10 words per cluster highlights dominant topics within each group. The clustering quality was evaluated using the Silhouette Coefficient, with the highest value of 0.04299, indicating a well-separated cluster structure. These findings demonstrate that K-Means++ effectively organizes books based on word similarity, enhancing library material management and improving information retrieval in the JTIK library.

Students Understanding of Network Virtualization in Computer Network Courses at Universitas Negeri Makassar Arifin, Afrisal; Rezky Anisar, Muh. Alief; Baso, Fadhlirrahman; Dillah, Salsa; Muliadi, Muliadi; Surianto, Dewi Fatmarani; Parenreng, Jumadi Mabe
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 6 No. 2 (2025): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v6i2.1653

Students’ understanding of network virtualization concepts in Computer Network courses remains limited, particularly in institutions with restricted access to advanced practical facilities. This study aims to analyze students’ comprehension of network virtualization and its relationship with learning experiences, technical skills, and perceptions of simulation tools. A quantitative cross-sectional survey was conducted with 202 students who had completed the Computer Network course and gained experience using Cisco Packet Tracer. The questionnaire was validated through expert judgment and construct validity testing via Exploratory Factor Analysis, and its reliability was confirmed. Findings indicate that four dimensions conceptual understanding, learning experience, technical skills, and perception of simulation tools consistently form a framework explaining students’ understanding of virtualization. Correlation analysis revealed that technical skills exert the strongest influence, while learning experiences and perceptions contribute additional support to conceptual comprehension. These results highlight the importance of integrating simulation media such as Cisco Packet Tracer into Computer Network courses, not only as a means of developing practical skills but also as a strategy to enhance students’ conceptual grasp of virtualization technologies increasingly demanded in the digital industry. This study contributes to the literature by emphasizing the cognitive dimension of simulation-based learning, an aspect often overlooked in prior research that mainly focused on technical performance.

Analisis Penerapan Fuzzy Tsukamoto dalam Penentuan Kelayakan Keikutsertaan Siswa pada SNMPTN Nur Rahmi; Lutfiah Tri Syahyaningsih; Warda Wahyuni; Surianto, Dewi Fatmarani
SISFOTENIKA Vol. 14 No. 2 (2024): SISFOTENIKA
Publisher : STMIK PONTIANAK

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

This research implements the Fuzzy Tsukamoto method to determine the eligibility of MAN 1 Makassar City students in participating in the National Selection for State Universities (SNMPTN). The input variables used include knowledge scores, skill scores, achievements, and the number of alumni who passed the SNMPTN the previous year. Data is collected from students and school archives, then processed using fuzzy models to produce eligibility decisions. The fuzzy process includes fuzzification, inference, and defuzzification to transform input variables into concrete output values. The results showed that the Fuzzy Tsukamoto method was able to provide eligibility predictions with an accuracy rate of 76.6%. This finding confirms that the combination of knowledge, skills, achievement, and number of alumni graduated scores contribute significantly to student eligibility. This research makes an important contribution in the development of a more objective and accurate student eligibility evaluation system. In addition, the results of the study can be used as a basis for decision-making regarding the awarding of scholarships, awards, or student development programs.

Sistem Penentuan Mahasiswa Berprestasi menggunakan metode Analytic Hierarchy Process (Studi Kasus : Fakultas Teknik UNM) Jariah, Rezki Nurul; Fadiah, Nur; Surianto, Dewi Fatmarani; Parenreng, Jumadi M; Adiba, Fhatiah
Eksplora Informatika Vol 14 No 1 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v14i1.1096

Penentuan mahasiswa berprestasi merupakan langkah krusial dalam meningkatkan mutu pendidikan, namun menentukan kriteria yang sesuai dan mengukur kinerja mahasiswa secara adil dan efektif merupakan suatu tantangan. Oleh karena itu, penelitian ini bertujuan untuk mengeksplorasi serta mengimplementasikan sistem pendukung keputusan berbasis Analytical Hierarchy Process (AHP) dalam menentukan mahasiswa berprestasi di lingkungan akademik, berdasarkan empat kriteria utama yaitu nilai IPK, jumlah prestasi yang dicapai, partisipasi dalam organisasi, dan total SKS yang telah dilulusi. Hasil penelitian ini menunjukkan bahwa sistem yang dibangun mampu menentukan mahasiswa berprestasi dengan menggunakan bobot standar. Bobot tersebut dihitung berdasarkan nilai IPK minimal 3.5, jumlah prestasi minimal 2, jumlah organisasi minimal 1, dan jumlah SKS yang dilulusi minimal 85. Hasil pengujian diperoleh bahwa Metode AHP dapat diimplementasikan dalam penentuan mahasiswa berprestasi dengan tingkat usabilitas mencapai 91,63% yakni pada kategori sangat layak. Dengan demikian, penelitian ini tidak hanya mengidentifikasi masalah dalam penentuan mahasiswa berprestasi, tetapi juga memberikan solusi konkret melalui penggunaan AHP, membuktikan efektivitasnya dalam meningkatkan keakuratan dalam seleksi mahasiswa berprestasi di lingkungan akademik.

AUTOMATIC FISHPOND IRRIGATION DOOR CONTROL SYSTEM BASED ON ATMEGA16 MICROCONTROLLER AND SMS GATEWAY B, Muhammad Fajar; Lestary, Fitriyanty Dwi; M. Miftach Fakhri; Muhammad Agung; Surianto, Dewi Fatmarani; Akmal Hidayat
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.669

The process of controlling irrigation doors in fishponds is still mostly done manually, this results in the performance of farmers being less effective and efficient. Current technological developments, especially in the field of IoT, can be used to design a simulation that is able to control irrigation gates automatically. Based on the results of the tests that have been carried out, it can be concluded that the ATmega16-based automatic irrigation gate simulation tool can work well according to the designed working principle. If the condition of fishpond water is less than the ideal height of the fishpond and the condition of river water is more than the height of the fishpond, the motor will move to "open" the irrigation door to fill fishpond water. If the fishpond water condition is more than the ideal height and the river water condition is less than the fishpond height, the motor will move to "open" the irrigation door to discharge fishpond water and if the river water condition is the same as the fishpond water condition, the motor will move "close” the irrigation door so that the ideal height of the fishpond can be achieved. There are certain conditions to control the door manually using the SMS Gateway. Information about the maximum or minimum fishpond water level will be displayed on the LCD to determine the maximum or minimum fishpond height using Keypad.

Clustering and Modeling of Daily Weather Pattern Distribution in Makassar City Using Hybrid DBSCAN-Gaussian Mixture Model Risaldi, Muhammad; Safitri, Ayu; Nur Risal, Andi Akram; Surianto, Dewi Fatmarani; Andayani, Dyah Darma; Edy, Marwan Ramdhany; Firdaus, Firdaus; Parenreng, Jumadi M
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5254

Dynamic and irregular daily weather changes present major challenges in understanding seasonal patterns. Data uncertainty, outliers, and inter-season variability further complicate weather analysis using conventional methods. To address this issue, this study integrates Density-Based Spatial Clustering of Application with Noise (DBSCAN) and Gaussian Mixture Model (GMM) to analyze daily weather patterns in Makassar City. A total of 2,192 daily records from 2019 to 2024, including rainfall, specific humidity, atmospheric pressure, and wind speed, were examined. DBSCAN detected one dominant cluster (2019 data) and 173 outliers. The main cluster was further partitioned by GMM into three sub-clusters representing the wet (511 records, 13.39 mm rainfall), dry (633 records, 0.15 mm), and transition (875 records, 2.53 mm) seasons. GMM identified 1,764 fixed clusters and 255 ambiguous data points, with a log-likelihood of 5091.22 and the highest Silhouette Score of 0.188. Comparative evaluation demonstrated that the hybrid DBSCAN-GMM achieved superior performance (Silhouette Score = 0.1434) compared to DBSCAN or GMM individually. The novelty of this research lies in applying the DBSCAN-GMM integration, which is rarely used in tropical weather analysis, to capture seasonal structure and anomalies adaptively. This study contributes methodologically to clustering-based weather modeling and practically supports applications such as agricultural planning, disaster mitigation, and adaptive climate strategies in tropical regions.

Analysis of Fuzzy Mamdani Implementation in Decision Making of Agricultural Plant Types for Farmers Wulandari, Wulandari; Makmur, Haerunnisya; Surianto, Dewi Fatmarani
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3612

Agriculture is one of the sectors that plays an important role in the national economic development of Indonesia. The growth of the agricultural sector is heavily influenced by the results of the agricultural production itself, where one of the factors that significantly impacts agricultural production results is climate change because each plant requires different climate and weather conditions to grow. Choosing the right type of plant based on climate and weather conditions is essential to ensure that the plants can grow optimally, thereby helping farmers in avoiding losses, such as crop failure. The selection of agricultural plant types was carried out using fuzzy Mamdani method. The recommended types of plants are categorized into three groups using fuzzy C-Means method. From one of the calculations, the result showed that if the temperature is 20 °C, rainfall is 300 mm, and the duration of sunlight is 6 hours, then the recommended result is plant group 1 which consists of green beans, spinach, mustard greens, chili, corn, and pumpkin.

Co-Authors A. Arianugerah Ilham A. Arianugerah Ilham AA Sudharmawan, AA Abdal, Nurul Mukhlisah Abdul Muis Mappalotteng Abdul Wahid Adiba, Fathiah Adiba, Fhatiah Adnas, Diny Anggriani Agusyana, Nurrahmah Ahmar, Ansari Saleh Ainun Zahra Adistia Akbar, Mohammad Arsan Akbar, Muh. Arsan Akmal Hidayat Akmal Hidayat Akmal, Muhammad syafruddin Aksa, Muhammad Al Amanah, Muh. Nur Hidayat Alwi, Ana Sulistiana Amanda Putri Lestari Amiruddin Amri, Muh. Aidil Amukune, Stephen Andi Akram Nur Risal Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi, Tenriola Andika Isma Anwar Wahid Arifin, Afrisal Arifiyanti, Fitria Arifky, Reza Arsyad, Meisaraswaty Asis Nojeng Asri Ismail Athiyyah Anandira Awalia, Andi Dio Nurul Awaliah, Widiarti Awaluddin, Muhammad Ghazali Ayu Hasnining Ayu Safitri Ayu Safitri Azir Zuldani Pratama Azis, Putri Alysia Azzah Ulima Rahma B., Muhammad Fajar Bahar, Muhammad Mahdinul Bakri, Muh. Fajrin Bakri, Muhammad Fajar Baso, Fadhlirrahman Cahyana Resky, Andi Aulia Clarisha, Windi Darwing, Khalil Mubaraq Dary Mochamad Rifqie Della Fadhilatunisa Dhaffa Mulya Rahman Dilla, Salsa Dillah, Salsa Dwi Rezky Anadari Sulaiman Edi Suhardi Rahman Edy, Marwan Ramdhany FADIAH, NUR Fani, A. Astri Merilsa Fathahillah Fathahillah Fathahillah Fhatiah Adiba Fhatiah Adiba Firdaus Firdaus Firdaus Fitriani Dzulfadhilah Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Hanum Zalsabilah Idham Hardy M, Galang Hartini Ramli Helmy, Ahnaf Riyandirga Ariyansyah Putra Hidayat M., Wahyu Ilyas, Sitti Nurhidayah Indanasufya, Indanasufya Inez Sri Wahyuningsi Manguling Irianti, Erva Irwandi Ishaq, Muhammad Fahrul Rosi isma, Nur Ivan Fadillah Akram Iwan Suhardi Jariah S.Intam, Rezki Nurul Jariah, Rezki Nurul Jasruddin Jasruddin Daud Malago Jumadi Mabe Parenreng Jumadil Ahmad Safi’i Jusniar Khaerunnisa Nur Fatimah Syahnur Kurnia Prima Putra Lapendy, Jessica Crisfin Lavicza, Zsolt Lutfiah Tri Syahyaningsih M. Miftach Fakhri Makmur, Haerunnisya Mappangara, Surianto MARDIAH, AINA Muh. Juharman Muhammad agung Muhammad Akil Musi Muhammad Ansarullah S. Tabbu Muhammad Fadhil Hani Muhammad Fajar B Muhammad Fardan MUHAMMAD ILHAM Muhammad Nur Yusri Muhammad Rafli Aditya H. Muhammad Rakib Muhammad Try Dharsana Muharni Muharni Muhtadi, Nashiruddin Sahal Mulia, Musda Rida Muliadi Mustari Lamada Muthmainnah, Aindri Muthmainnah, Aindri Rizky Nafil Rizqullah Rajab Nafil Rizqullah Rajab Nashiruddin Sahal Muhtadi Nasrullah, Asmaul Husnah Natsir, Nasrah Ninik Rahayu Ashadi NIRMALA, PUTRI Nur Fadiah NUR FADILAH NUR FADILLAH Nur Risal, Andi Akram Nurhidayat Nurhidayat Nurjannah Nurrahmah Agusnaya Nurul Fadhilah Nurul Fadhillah Nurul Fadhillah S Nurul Mukhlisah Abdal Pamput, Jessicha Pamput, Jessicha Putrianingsih Parenreng, Jumadi M. Putri Nirmala Putri Zhachilia Susanto R, Mutmainnah Raden Mohamad Herdian Bhakti Rahman, Dhaffa Mulya Ramadhan, Haekal Febriansyah Rauf, Annajmi Resky, Andi Aulia Cahyana Rezki Angriani Pratiwi Kadir Rezki Nurul Jariah Rezky Anisar, Muh. Alief Rhania, Dhia Ridwan Daud Mahande Ridwan Daud Mahande Risaldi, Muhammad Rivai, Andi Tenri Ola Rosidah Rusli, Risvan S, Aprilianti Nirmala S, Muh. Rizal S, Nurul Fadhillah S.Intam, Rezki Nurul Jariah Sari Wulandari Sari, Putri Nanda Sasmita Sasmita Satria Gunawan Zain Setialaksana, Wirawan - Shabrina Syntha Dewi Shasa Inayah Vega Shasa Inayah Vega Siti Syarifah Wafiqah Wardah Soeharto Soeharto Sudarmanto Jayanegara Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syahyaningsih, Lutfiah Tri Syam, Abd. Azis Syamsurijal Syamsurijal, Syamsurijal Tenriola, Andi Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahid, Yokogeri Abdullah Wahyu Hidayat Wahyu Hidayat M Wahyu Hidayat M WAHYUDI Warda Wahyuni Wardah, Siti Syarifah Wafiqah Wardani, Ayu Tri WULANDARI Wulandari Wulandari Zulfikar, Muh Ihsan Zulhajji, Zulhajji

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