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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi JSI: Jurnal Sistem Informasi (E-Journal) Prosiding SNATIF E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal DISPROTEK Jurnal Teknologi Informasi MURA Journal of Dedicators Community Jurnal Nasional Komputasi dan Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi JURSIMA (Jurnal Sistem Informasi dan Manajemen) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Informasi dan Sistem Komputer Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Software Engineering Ampera Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Jurnal UNITEK Jurnal Dialektika Informatika (Detika) Jurnal Mahasiswa Sistem Informasi (JMSI) GANESHA: Jurnal Pengabdian Masyarakat ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Indonesian Journal of Networking and Security - IJNS Muria Jurnal Layanan Masyarakat Jurnal Teknik Informatika PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Sains Informatika Terapan (JSIT) Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Teknik Indonesia JURSIMA Jurnal Teknologi Informasi Mura JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Sistem Informasi dan Manajemen
Diana Laily Fithri
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Analisis Gaya Hidup Mahasiswa dalam Memprediksi Tingkat Stres Menggunakan Algoritma Decision Tree dan Random Forest Thoha, Muchammad; Muhammad Ary Sanjaya Putra; Ary Kania Sya'diah; Aulia Nurhaliza; Diana Laily Fithri
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 2 (2025): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i2.282

Abstract

HIgh Stress levels in students are an important issue that can affect their mental health and academic performance. This study aims to analyze the influence of students' lifestyles on stress levels using Machine Learning approaches, specifically Decision Tree and Random Forest algorithms. Data was collected through surveys on sleep habits, diet, physical activity, and social media usage. The analysis results show that lifestyle has a significant correlation with stress levels, and the Random Forest model provides higher prediction accuracy than Decision Tree. The findings are expected to provide a basis for preventive decision-making to manage stress among students.
Sentiment Classification of MyTelkomsel Reviews Using SVM and Logistic Regression Adinata, Rijal Bagus; Supriyono, Supriyono; Fithri, Diana Laily
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.110409

Abstract

The development of digital technology has encouraged increased user participation in expressing opinions through review platforms, such as the Google Play Store. MyTelkomsel's application, a digital service from Indonesia's leading telecommunications provider, has received various responses, from appreciation to complaints related to app performance and customer service. This study aims to evaluate sentiment in user reviews using Support Vector Machine (SVM) and Logistic Regression algorithms. Data was collected from the Google Play Store and underwent a series of pre-processing stages, including data cleaning, case folding, normalization, tokenization, stopword removal, and stemming. The feature extraction process uses the TF-IDF approach, while model performance evaluation is based on accuracy, precision, recall, F1-score, and Area Under Curve (AUC) metrics. The results showed that the performance of both models was relatively balanced, but SVM exhibited an advantage in recall for positive sentiment (82%), accuracy (93.36%), and AUC (0.9680). Logistic Regression excels in precision (99%) in the positive class. WordCloud visualization illustrates consistency of dominant words in each sentiment class, reflecting the model's ability to identify patterns in user opinion. These findings are expected to contribute to the improvement of digital services based on user input.
MODEL KLASIFIKASI TIPE PERUMAHAN DENGAN PENDEKATAN LOGISTIC REGRESSION UNTUK MENDUKUNG KEPUTUSAN INVESTASI PROPERTI Fithri, Diana Laily; Nugraha, Fajar; Romadhon, Zainur
Jurnal Dialektika Informatika (Detika) Vol. 6 No. 2 (2026): Jurnal Dialektika Informatika(Detika) Vol.6 No.2 Mei 2026
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/detika.v6i2.16293

Abstract

Perkembangan sektor perumahan di Indonesia mengalami peningkatan signifikan seiring dengan pertumbuhan jumlah penduduk dan urbanisasi yang pesat. Klasifikasi tipe perumahan berdasarkan aspek seperti harga, luas bangunan, jumlah kamar, dan lokasi menjadi penting untuk membantu pengembang, konsumen, serta pemerintah dalam pengambilan keputusan. Namun, permasalahan muncul karena proses klasifikasi tipe perumahan sering dilakukan secara manual dan subjektif, sehingga berpotensi menimbulkan ketidaktepatan dalam pengelompokan dan penentuan kategori hunian. Selain itu, belum banyak penelitian yang memanfaatkan pendekatan machine learning untuk menghasilkan model klasifikasi yang objektif dan efisien dalam konteks pasar properti di Indonesia. Penelitian ini bertujuan untuk mengklasifikasikan tipe perumahan di Kota Bandung menggunakan algoritma Logistic Regression sebagai metode machine learning yang mampu memprediksi kategori berdasarkan variabel input yang tersedia. Dataset yang digunakan berasal dari Kaggle dengan jumlah sekitar 7.000 entri dan delapan atribut utama, yaitu house_name, location, bedroom_count, bathroom_count, carport_count, price, land_area, dan building_area. Proses pengolahan data dilakukan menggunakan Google Colab, dibantu dengan Microsoft Excel (fungsi IF) untuk klasifikasi awal, serta pembuatan model di RapidMiner. Tahapan penelitian mencakup pengumpulan data, praproses data, pemodelan, dan evaluasi performa model. Hasil penelitian menunjukkan bahwa Logistic Regression mampu mengelompokkan tipe perumahan dengan tingkat akurasi yang memadai. Model ini dinilai efektif karena mudah diinterpretasikan dan efisien untuk data terstruktur. Implementasi model ini diharapkan dapat menjadi dasar dalam analisis pasar properti, membantu konsumen dalam menentukan pilihan hunian, serta mendukung kebijakan pengembangan sektor perumahan di Indonesia
Implementasi sistem informasi pelayanan administrasi kelurahan (SIPAKEL) berbasis web untuk digitalisasi administrasi pengajuan surat di Kelurahan Wergu Kulon Nanda Lutfi Rizqiyanto; Diana Laily Fithri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39666

Abstract

Abstrak Pelayanan administrasi persuratan di Kelurahan Wergu Kulon saat ini masih dilakukan secara manual, yang menyebabkan proses pelayanan menjadi lambat, rentan terhadap kesalahan pencatatan, dan memiliki transparansi yang rendah. Kegiatan pengabdian ini bertujuan untuk mengimplementasikan Sistem Informasi Pelayanan Administrasi Kelurahan (SIPAKEL) berbasis web guna mendigitalisasi layanan administrasi persuratan secara end-to-end. Kegiatan pengabdian dilaksanakan pada 12 Januari hingga 21 Februari 2026 di Kelurahan Wergu Kulon, Kota Kudus, dengan melibatkan 3 perangkat kelurahan sebagai mitra utama, yaitu Kepala Kelurahan, Sekretaris Kelurahan, dan staf operator administrasi, serta 1 orang perwakilan pengurus RT dan warga sebagai pengguna sistem. Metode yang digunakan adalah pendekatan Participatory Action Research (PAR) yang dikombinasikan dengan metode pengembangan perangkat lunak Waterfall, mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Secara kualitatif, hasil dari kegiatan ini adalah beroperasinya SIPAKEL (berbasis PHP Native dan MySQL) yang menerapkan empat hak akses utama (Warga, RT, Operator, Admin), serta dilengkapi fitur audit log dan notifikasi real-time untuk menjamin akuntabilitas data. Secara kuantitatif, sistem ini dirancang untuk mengurai antrian secara terukur, dimana digitalisasi sistem serupa terbukti mampu memangkas waktu tunggu pelayanan dari 2-3 hari menjadi 1 hari kerja saja. Secara keseluruhan, sistem ini diharapkan dapat mewujudkan tata kelola pelayanan yang lebih tertib, cepat, dan modern. Kata kunci: digitalisasi; pelayanan publik; sistem informasi; kelurahan; SIPAKEL. Abstract The administrative letter service in Wergu Kulon Subdistrict is currently still carried out manually, which causes the service process to be slow, prone to recording errors, and has low transparency. This community service activity aims to implement a Web-based Subdistrict Administrative Service Information System (SIPAKEL) to digitize administrative letter services end-to-end. The community service activity was carried out from January 12 to February 21, 2026, in Wergu Kulon Subdistrict, Kudus City, involving 3 subdistrict officials as main partners, namely the Head of Subdistrict, Subdistrict Secretary, and administrative operator staff, as well as 1 representative of the RT management and residents as system users. The method used is a Participatory Action Research (PAR) approach combined with the Waterfall software development method, covering the stages of requirements analysis, system design, implementation, testing, and maintenance. Qualitatively, the result of this activity is the operation of SIPAKEL (based on PHP Native and MySQL) which implements four main access rights (Citizen, Neighborhood, Operator, Admin), and is equipped with audit log features and real-time notifications to ensure data accountability. Quantitatively, this system is designed to manage queues in a measurable manner, where the digitization of a similar system has been proven to reduce service waiting time from 2-3 days to only 1 working day. Overall, this system is expected to realize a more orderly, faster, and modern service management. Keywords: digitalization; public service; information system; village administration; SIPAKEL.
Penerapan sistem informasi pembuatan surat keterangan waris berbasis web sebagai upaya meningkatkan pelayanan administrasi di Kelurahan Wergu Kulon Mohammad Maulana Afriza; Diana Laily Fithri
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39683

Abstract

AbstrakPelayanan pembuatan Surat Keterangan Waris di Kelurahan Wergu Kulon, Kabupaten Kudus, sejauh ini masih bersifat manual sehingga proses pencatatan data kurang terstruktur, pencarian arsip lambat, dan rawan kesalahan penulisan. Program pengabdian ini dilaksanakan dengan tujuan menghadirkan Sistem Informasi berbasis web untuk pengelolaan SKW sebagai langkah peningkatan efektivitas dan keteraturan layanan administrasi Kelurahan. Kegiatan dilaksanakan di Kantor Kelurahan Wergu Kulon pada 12 Januari hingga 21 Februari 2026, dengan melibatkan 2 orang tim pelaksana serta 4 peserta dari pihak kelurahan yang terdiri atas Lurah, Sekretaris, Staf Administrasi, dan Perwakilan Warga sebagai penguji sistem. Metode pelaksanaan mencakup observasi proses manual, pengembangan sistem, demo kepada penyelia, pengujian Black Box Testing, dan penyerahan sistem. Sistem dilengkapi fitur login, dashboard user/admin, form pengajuan data pemohon/pewaris/ahli waris, pengelolaan arsip, pencarian data, dan cetak surat.. Hasil kegiatan menunjukkan semua 9 fitur utama berfungsi optimal (100% sukses pada Black Box Testing). Evaluasi bersama pihak kelurahan menunjukkan bahwa pegawai merasa puas dengan sistem yang diterapkan. Satu masukan yang diperoleh adalah penambahan fitur unggah file tanda tangan, yang kemudian ditindaklanjuti dengan perbaikan sistem sebelum diserahterimakan.. Sistem mengurangi pekerjaan berulang, mempercepat proses dari manual ke digital, mempermudah pemantauan status pengajuan oleh pemohon, serta meningkatkan kerapian pengelolaan data bagi petugas. Secara keseluruhan, pelayanan kini lebih efektif dan efisien. Kata kunci: kelurahan; pelayanan publik; pengabdian masyarakat; surat keterangan waris; sistem informasi. AbstractThe issuance of Inheritance Certificates (SKW) at Wergu Kulon Village Office, Kudus Regency, has been conducted manually, resulting in unstructured data recording, slow archive retrieval, and error-prone documentation. This community service program was carried out to introduce a web-based information system for SKW management as a means of enhancing the effectiveness and orderliness of village administrative services. The activity was conducted at Wergu Kulon Village Office from January 12 to February 21, 2026, involving 2 team members and 4 participants from the village office, consisting of the Village Head, Secretary, Administrative Staff, and Community Representative as system testers. Implementation methods included observation of manual processes, system development, demonstration to supervisors, Black Box Testing, and system handover. The system features login, user/admin dashboards, applicant/heir data submission forms, archive management, data search, and certificate printing. Results show that all 9 main features functioned optimally, achieving 100% success in Black Box Testing. Evaluation conducted with the village office showed a positive response, with staff expressing satisfaction with the implemented system. One feedback received was the addition of a signature file upload feature, which was subsequently addressed before the system was officially handed over. The system reduces repetitive tasks, accelerates the transition from manual to digital processes, facilitates application status monitoring for applicants, and improves data management for staff. Overall, administrative services are now more effective and efficient. Keywords: community service; information system; inheritance certificate; public service; village.
Co-Authors - Sucipto - Supriyono Achmad Ridwan Achmad Ridwan, Achmad Adinata, Rijal Bagus Aditiya, Natasya Aditya Firman Syah Adiyono, Soni Agil Rafsanjani, Ahmad Syaifudin Andani, Indah Setia Andy Prasetyo Utomo Andy Prasetyo Utomo Anindya, Dika Mufti Anteng Widodo Aprilia Damayanti Arif Setiawan Arif Setiawan Arina Fawaida Arkanda, Rizal Naufal Farras Ary Kania Sya'diah Ashari Mahfud Aulia Ina Rahma Aulia Nurhaliza Budi Gunawan Budiman, Nita Adriyani Budiman, Nita Andriani Burhanuddin, Anas Deni Agus Haryadi Diah Ayu Susanti Dian Aditya Dwika Mahendra Edris Zamroni Eka Wakhyu Agustina Eko Darmanto Fajar Nugraha Fajar Nugraha Fajar Nugraha Fandi Ahmad Fathon, Ulil Firdausiyah, Auliya Gutti Zaidan Syauqi Habibullah, Eggy Agusti Handayani, Anisa Hidayah, Lisna Iftikhar Rizqullah Ijlal, Muhammad Yusuf Luthfi Indah Lestari, Indah Indah Setia Andani Kurniawan, Muhammad David Lina Anjelina Mochammad Imron Awalludin Moh Adi Kurniawan Moh. Rizal Alfi Na'im Mohammad Fajar Sirullah Mohammad Maulana Afriza Muhammad Arifin Muhammad Ary Sanjaya Putra Muhammad Rafif Rabbani Muhammad Rizki Arrohman Muhammad Wifqi Aufal Maulana Mukhamad Taqwa Nuddin, Mukhamad Taqwa Nanda Lutfi Rizqiyanto Narendra Saputra Natasya Aditiya Nesicha, Yutia Nia Nikmatul Khoiriyah Noor Latifah Noor Latifah Oktafiyani, Feby Oktavia, Adinda Bintang Paramitha Sylvia Dewi Pratama, Wildan Pratomo Setiaji Putri Kurnia Handayani Putri, Fadina Salwa Aulia Putri, Noor Syafa’ah Kusuma R Rhoedy Setiawan Rahmawati, Sinta Devi Ratri Rahmawati Rika Santi Risnawati, Heni Rizkysari Meimaharani Rochim, Galuh Nur Rochmad Winarso Rochmad Winarso Rokhman, Arif Maulana Romadhon, Zainur Safera, Asywila Huda Safrida Ika Febrianti Saidun Basyar, Aminun Fais Salsabila, Syafira Sandi Ashriel Nugraha Santoso Santoso Sari, Nesti Listia Setiawan, Dave Andre Setiawan, Dave Andre Setyawan, Moh Dodi Shifaul Akmal Dzauqi Silvia Himmatul Aliyyah Sonia Shekha Anggriani Sri Mulyani Sulistiowati Apriliya Eka Wardani Supriyono Supriyono Susanti, Diah Ayu Susanto, Muhammad Amzis Syaputa, Muhammad Rioardian Taufiq Hidayat Thoha, Muchammad Wiwit Agus Triyanto Yudie Irawan Yudie Irawan Zulfa Himmatul Ulya