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All Journal Teknika Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan Elkawnie JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi MODELING: Jurnal Program Studi PGMI Indonesian Journal of Artificial Intelligence and Data Mining MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton An Nadwah Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Information Systems and Informatics MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal khabar: Komunikasi dan Penyiaran Islam Brahmana : Jurnal Penerapan Kecerdasan Buatan IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Al-Khidmah Jurnal Pengabdian Masyarakat Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY QISTINA: Jurnal Multidisiplin Indonesia Jurnal Mahasiswa Ilmu Komputer Eduvest - Journal of Universal Studies Electronic Journal of Education, Social Economics and Technology Innovative: Journal Of Social Science Research The Indonesian Journal of Computer Science Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Cendekia: Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam
Sriani Sriani
Univeritas Islam Negeri Sumatera Utara
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Penerapan Metode Fuzzy MADM dan WASPAS untuk Menentukan Kinerja Terbaik Pegawai Perumda Air Minum Lae Nciho Alfansori, Ahmad; Sriani, Sriani
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.96706

Abstract

Penentuan pegawai terbaik sering kali menghadapi tantangan dalam hal objektivitas dan ketidakpastian data penilaian, terutama ketika melibatkan berbagai kriteria kinerja. Untuk mengatasi permasalahan tersebut, penelitian ini menerapkan metode Fuzzy Multiple Attribute Decision Making (FMADM) dan Weighted Aggregated Sum Product Assessment (WASPAS) sebagai pendekatan dalam Sistem Pendukung Keputusan (SPK). Tujuan dari penelitian ini adalah untuk menilai dan menentukan pegawai terbaik berdasarkan sembilan kriteria utama, yaitu kehadiran, kesetiaan, prestasi kerja, tanggung jawab, ketaatan, kejujuran, kerja sama, prakarsa, dan kepemimpinan. Setiap kriteria dikategorikan ke dalam tiga tingkat penilaian linguistik ("Sangat Baik," "Baik," dan "Kurang Baik") yang kemudian difuzzifikasi menjadi nilai numerik. Hasil dari analisis menunjukkan bahwa sebagian besar data alternatif pegawai berada pada kategori Baik dan Sangat Baik, dengan distribusi nilai yang beragam di setiap kategori C1 hingga C9. Berdasarkan hasil perhitungan menggunakan metode WASPAS, Bangun Siringo-ringo dan Elprida Sinuraya teridentifikasi sebagai pegawai dengan performa terbaik, masing-masing memperoleh skor tertinggi sebesar 1. Temuan ini menunjukkan bahwa penerapan FMADM dan WASPAS efektif dalam menghasilkan keputusan yang akurat dan objektif dalam pemilihan pegawai terbaik.
Design Of Fire Early Detection System Using Microcontroller As Smoke And Sprinkle Detection Using Fuzzy Mamdani Logic Method Nurfikri, Tengku Falih Diny; Sriani, Sriani
Eduvest - Journal of Universal Studies Vol. 4 No. 8 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1783

Abstract

This research presents the design of a fire early detection system utilizing a microcontroller integrated with Mamdani fuzzy logic. The system employs multiple sensors, including temperature, gas, and infrared sensors, to detect fires by analyzing the temperature, gas concentration, and fire distance. The microcontroller serves as the core processor that controls the sensors and triggers responses, such as alarms and sprinkler activation, based on fuzzy logic-based decision-making. Fuzzy logic enhances the system's adaptability to different fire severity levels, improving response accuracy. The system successfully detects potential fires, controls the sprinkler system automatically, and is shown to improve fire prevention in various environments. Testing results indicate that the system can effectively identify fire hazards and minimize damage by responding appropriately to various fire scenarios. This research provides a foundation for developing smarter and more efficient fire safety systems.
Penerapan Logika Fuzzy Sugeno untuk Deteksi Tingkat Depresi Kerja Karyawan Daffa, Muhammad; Sriani, Sriani
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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

Abstract

The problem of depression levels among employees in a company can have a negative impact on overall performance. Therefore, the company needs additional information as a tool to detect employees' depression levels early and gain an understanding of their level of depression. Researchers applied fuzzy Sugeno to build a model for detecting employees' depression levels based on their psychological data. A dataset including variables such as weight and height, which generate Body Mass Index (BMI) values, and scores from the Patient Health Questionnaire-9 (PHQ-9), was used as input for the model. The data was then transformed into fuzzy set concepts, and fuzzy rules were built based on existing domain knowledge. The model was constructed using 60 employee respondents who had completed the questionnaire. The study utilized the Matlab application, which provides accurate results. The research findings indicate that the fuzzy Sugeno logic model is capable of detecting employees' depression levels, with results showing (63.3%) of employees experiencing mild depression, followed by (31.7%) experiencing moderate depression, and a small percentage of employees experiencing severe depression (5%).
Sistem Pakar Diagnosis Stunting pada Balita Menggunakan Metode Forward Chaining dan Logika Fuzzy Sugeno Ananda, Putri Rizky; Sriani, Sriani
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.38245

Abstract

Stunting is still a serious problem for children in Indonesia. In one area, especially Batubara Regency at the Pematang Panjang Community Health Center, in this area treatment for this disease must continue. This research was carried out with the aim of making stunting diagnosis more easily using the WEB site. By applying the Forward Chaining method and Sugeno's Fuzzy Logic. Based on the research results, it appears that Forward Chaining is a livelihood method that begins with fact analysis, while Sugeno's Fuzzy Logic can determine its ability to provide disease diagnoses. Based on 122 data on stunted toddlers obtained, the final diagnostic results showed that there were 106 data on toddlers who were declared stunted and 16 toddlers who were declared normal. From the 122 data, data was obtained with details of toddlers being at risk of stunting at a high level of (57%), followed by a very high risk level for stunting (26%) and a low risk level for stunting (17%).
Application of Fuzzy Multiple Criteria Decision Making in the Employee Leave Application System using the Simple Additive Weighting (SAW) Method adani, abdul harits; Sriani, Sriani
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (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.v13i5.4596

Abstract

PT. Telkom Akses (PTTA) has constraints in the employee leave application management system, this is because the employee leave application process is still done manually and difficulties in determining the level of importance for employees who apply for leave. Therefore, a web-based application was built using FMCDM and the SAW Method. This study aims to improve efficiency and effectiveness in managing the employee leave application system by utilizing the Fuzzy Multi-Criteria Decision Making (FMCDM) approach using the Simple Additive Weighting (SAW) method at PT. Telkom Akses (PTTA). In order to make it easier for employees to carry out the deduction process and obtain complete and detailed information and rules related to deductions, the personnel department is expected to be able to create an online information system. To help with this, one of the fields of technology that can be utilized is soft computing technology. There are various methods that can be used to solve problems, one of which is the Fuzzy Multi Criteria Decision Making (FMCDM) method and the Simple Additive Weighting (SAW) method. The results of the study indicate that the web-based application that has been designed can help solve the problems faced by PT. Telkom Akses Medan STO Simpang Limun in terms of managing the employee leave application system and helping to determine the level of importance and ranking for employees who apply for leave accurately and efficiently, and the results of the application of FMCDM and the SAW Method in determining employee leave permits are that out of 7 employees who apply for leave, 2 employees get the highest rating results. The conclusion of this study is to help decision makers in determining employees who get leave permits based on relevant and transparent assessments of each employee who applies for leave.
IMPLEMENTASI DEEP LEARNING UNTUK MENGIDENTIFIKASI UMUR MANUSIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) Sriani, Sriani; Nabila, Ayu
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4457

Abstract

Identifikasi atau pengenalan wajah atau face recognition adalah sebuah bidang ilmu dalam pengenalan wajah yang terdapat dalam computer vision, dimana sebuah komputer dapat menganalisa suatu citra digital dan dapat menemukan identitas dari wajah tersebut. Pada penelitian ini dilakukan Implementasi Deep Learning untuk mengidentifikasi umur manusia menggunakan algoritma Convolutional Neural Network (CNN). Penelitian ini hanya untuk mendeteksi umur manusia berdasarkan citra wajah yang dapat mengidentifikasi umur masudia di mulai dari umur 0 tahun hingga 90 tahun. Dimana input citra berformat JPEG yang berukuran lebar 48 pixel dan panjang 48 pixel. Bahasa Pemrograman yang digunakan pada penelitian ini yaitu Python dengan versi 3.9.6. Hasil penelitian ini adalah semua citra wajah dapat diproses untuk mendeteksi umurnya dengan nilai Pengujian identifikasi tingkat akurasi sebesar 0.8147 dan loss sebesar 0.3756.
Analisis Algoritma Canny Edge Detection dengan Tesseract OCR untuk Mendeteksi Pelat Nomor Kendaraan Bermotor Firin, Ananda Sarbaini; Sriani, Sriani
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 3 December 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i3.34868

Abstract

Identity and vehicle ownership checks are an important routine carried out by security personnel at the State Islamic University of North Sumatra (UINSU) to ensure the legality of vehicles entering and exiting. However, the still manual inspection process of matching vehicle registration certificates (STNK) and license plates is often time-consuming and causes vehicle queues, especially during peak hours. This research applies a combination of the Canny Edge Detection algorithm to detect license plate edges and Tesseract OCR (Optical Character Recognition) to extract text from images. The purpose of this research is to explore the effectiveness of this method in detecting and recognizing two-wheeled vehicle license plates within the UINSU environment, and to provide an alternative solution to the problems of the manual inspection system. The dataset used consists of 125 images of two-wheeled vehicles taken using a mobile phone camera. The research results show that before post-processing was applied, OCR produced an average character accuracy of 81.60% with a CER of 18.40%, while after post-processing, the accuracy increased to 82.49% and the CER decreased to 17.51%. These results confirm that rule-based correction is able to improve character reading errors, although the improvement is moderate and has not completely addressed cases of detection failure in some images. This finding serves as the basis for addressing queuing issues and human resource limitations, while also providing a foundation for the broader development of digital image-based vehicle identification systems across various sectors.
Strategi Pemberdayaan Ekonomi dan Literasi Sosial Berbasis UMKM Salsabila, Raisha; Farah Dhiba, Nabila; Hade Fahrezi, Angga; Pratama Hutabarat, Dea Ananda; Sriani, Sriani
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): JANUARI-APRIL
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v6i1.5010

Abstract

The implementation of the Community Service Program (KKN) in Beringin Village was motivated by the community's low economic capacity, minimal social literacy, limited environmental management, and the need to strengthen religious values ​​amidst digital developments. These conditions demonstrate the importance of holistic and sustainable community empowerment-based interventions. This community service program used a qualitative descriptive method with a participatory approach, including observation, interviews, Focus Group Discussions (FGDs), mentoring MSMEs, biopore construction practices, and religious literacy development. The results of the activities showed an increase in MSME skills in digital marketing and financial recording, an increase in residents' ability to recognize hoaxes, the formation of more participatory social behavior, and growing environmental awareness through the implementation of biopores and organic waste management. In the religious field, mentoring in reading the Quran and mosque youth activities had an impact on increasing understanding and habituation of worship among the younger generation. Overall, this program made a significant contribution to strengthening the local economy, social resilience, environmental sustainability, and fostering community morality. These findings confirm that an empowerment approach based on collaboration and local needs is an effective strategy in realizing independent and sustainable village development
Pemberdayaan Usaha Terasi Tradisional Melalui Optimalisasi Produksi dan Strategi Pemasaran Digital di Desa Beringin, Deli Serdang Sriani, Sriani; Nasrullah Fajrillah, Raja; Avellyola, Ouren; Abiyyu Wadi, M; Agil Lubs, Said
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): JANUARI-APRIL
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v6i1.5294

Abstract

Indonesia, as a maritime country with an area of approximately 3,544 million km2 or 75% of the total area of the Republic of Indonesia (RI) with the second longest coastline in the world, has abundant marine resources, one of which is shrimp that can be processed into shrimp paste. Shrimp paste, a traditional fermented product with high economic value, is still managed in a simple manner by business operators, such as Mrs. Eva's family business in Beringin Village, which has been operating since 2000 with a production capacity of 35 kg per period, increasing to 70 kg during Eid al-Fitr. This community service activity aims to increase production capacity and expand the marketing of shrimp paste businesses through the application of simple production strategies and digital marketing. The results show that the business faces problems of limited raw materials, manual processes, price fluctuations, and marketing that is limited to the local market without branding or digitalization. However, the business has a high profit margin and a distinctive taste that is a competitive advantage. Empowering businesses through production optimization and digital marketing strategies has proven to be able to improve product quality, strengthen business identity, and expand market access. Digitalization and simple innovations effectively boost the competitiveness of SMEs based on local wisdom. Recommendations include diversifying raw materials, standardizing production, providing ongoing training in branding and digital marketing, and fostering multi stakeholder collaboration to expand impact and ensure business sustainability.
Penerapan Metode Otsu dalam Melakukan Segmentasi Citra pada Citra Naskah Arab Indah Eka Yulia Sari; Mhd Furqan; Sriani Sriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.658

Abstract

Sejarah berdirinya agama Islam di provinsi Sumatera Utara memiliki kisah tersendiri dan telah di tuliskan di dalam naskah arab. Bentuk dari naskah arab bisa rusak karena disimpan begitu lama, dari kerusakan tersebut informasi di dalam naskah menjadi berkurang. Agar dapat mencegah berkurangnya informasi di dalam naskah perlu digitalisasi dengan melakukan proses segmentasi. Segmentasi merupakan metode yang mempunyai tujuan agar dapat memisahkan sebuah gambar menjadi beberapa daerah dan tiap-tiap daerahnya mempunyai atribut yang sama. Untuk dapat melaksanakan proses tersebut penulis mengimplementasikan metode Otsu, dari citra yang telah dimasukkan nilai ambang dapat ditentukan secara otomatis. Metode Otsu bekerja dengan teknik pencarian nilai penyebaran intensitas gambar yang dimasukkan, nilai bobotnya dicari berdasarkan kedua kelasnya, perhitungan rerata terhadap dua kelas, total dari nilai rerata, dan mecari nilai Beetwen Class Variance. Pengimplementasian terhadap sistem yang telah dibuat disimpulkan bahwa tulisan yang terdapat pada naskah arab dapat dilihat dengan jelas jika dibandingkan dengan citra naskah arab sebelum melakukan proses segmentasi.
Co-Authors Abdul Halim Hasugian Abiyyu Wadi, M adani, abdul harits Ade Nurlita Adi Hartono Adinda Tarisyah Hsb Agil Lubs, Said Aidil Halim Lubis Aidilia, Yunda Alfansori, Ahmad Alfioni Saragi Ali Akbar Siregar Ali Darta Alif Lailasari Saragih Ananda, Putri Rizky Armansyah Armansyah Aulia, Lailatul Husna Avellyola, Ouren Ayu Nabila, Ayu Azhari, Fajar Bimantara, M. Dhuha Daffa, Muhammad Dava Sindy Dea Syahfira Hasibuan Dirga Ayu Sulistia Fadhilah Andini Fadillah, hasti Farah Dhiba, Nabila Fikril Hakim Firin, Ananda Sarbaini Hade Fahrezi, Angga Harahap, Hotma Rizki Heri Santoso Himawan Hasibuan, Riswanda Ichsan Hsb, Munawir Siddik Ilham Fuadi Nasution Ilka Zufria Indah Eka Yulia Sari Indah Permata Sari Intan Zahira Jerri Pradana Sikumbang Joehari Azhar Juraidah Juraidah Khairuna Khairuna Khairuna Khairunnisa Khairunnisa Lia Putri Ashari Lubis Mafazi Ananda Hafiz Mazayah Tsaqofah Mhd Furqan Mhd Furqan Mhd Furqan Mhd. Syahnan Milla Rantika Muhammad Dary Daffa Haque Muhammad Naufal Shidqi Muhammad Siddik Hasibuan Munadi Munadi Muntaja, Nadia Nasrullah Fajrillah, Raja Nasution, Saddam Ali Habibie Nia Zanah Nia Nugroho, Bagus Joyo Tirto Nurfebia, Karina Nurfikri, Tengku Falih Diny Nurhasanah Tambunan Nurul Hayati Pandia, Nur Aisyah Panjaitan, Nurhalimah Pratama Hutabarat, Dea Ananda Purwaningtyas, Franindya Raditya, Muhammad Ezar Rafiqah, Intan Nur Rahmat Zulfikar Nasution Raissa Amanda Putri Rakhmat Kurniawan R Ramadani, Putri Ramadhan, Alfan Riki Hamdani Rilia, Cintana Aisyah Rima Aprilia Rina Filia Sari, Rina Filia Riris Silvia Tampubolon Ritonga, Azizah Oktarina Rizky Sundari TP. Bolon Rubiani, Endang Ruslan Padli Salsabila, Raisha Siti Asyaroh Siti Rahmawati Soly Aryza Lubis Soly Aryza Lubis Sri Rahmadani Suci Ramadhani Suhardi, Suhardi Syahputra, Surya Tommi Ardiansyah Triase Triase Triase Triase Triase Waju Indrian Wan Fadilla Rischa Widya Syaharani Wina Fadia Ardianti Yuli Kartika Siregar Yunda Aidilia Yunus Fadillah Harahap Zordy Andrean Sibarani Zuheri Lubis