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All Journal Litera Parole: Journal of Linguistics and Education Pixel : Jurnal Ilmiah Komputer Grafis Hunafa: Jurnal Studia Islamika Jurnal Diskursus Islam Phi : Jurnal Pendidikan Fisika dan Terapan Buletin Penelitian Sosek Jurnal Al-Tadzkiyyah Jurnal Infomedia JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Kybernan: Jurnal Studi Kepemerintahan JURNAL SURYA ENERGY JIA (Jurnal Ilmiah Agribisnis) : Jurnal Agribisnis dan Ilmu Sosial Ekonomi Pertanian Jurnal Ilmiah Membangun Desa dan Pertanian Jurnal Sains dan Teknologi Reaksi Al Amin: Jurnal Kajian Ilmu dan Budaya Islam Jurnal Vokasi PREPOTIF : Jurnal Kesehatan Masyarakat Kombud JPIn : Jurnal Pendidik Indonesia AGRITEXTS: Journal of Agricultural Extension Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan Jurnal Pengabdian kepada Masyarakat Nusantara Al asma : Journal of Islamic Education Kreatif: Jurnal Pemikiran Pendidikan Agama Islam Jurnal Manajemen Pendidikan Dasar, Menengah dan Tinggi [JMP-DMT] INDONESIAN JOURNAL OF HEALTH Anoa : Jurnal Pengabdian Masyarakat Sosial, Politik, Budaya, Hukum. Ekonomi Jurnal Kolaboratif Sains Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) The International Journal of Politics and Sociology Research Journal of Renewable Energy, Electrical, and Computer Engineering Talaa : Journal of Islamic Finance Taroa : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Penyuluhan dan Pengembangan Masyarakat LEBAH Jurnal Teknik, Komputer, Agroteknologi dan Sains Proceeding Applied Business and Engineering Conference Journal of Artificial Intelligence and Digital Business AHKAM : Jurnal Hukum Islam dan Humaniora Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Al-Ahya: Jurnal Pendidikan Biologi International Journal of Multidisciplinary Sciences Jurnal Ilmu Administrasi Negara Jurnal Komunikasi dan Kebudayaan Journal Of Artificial Intelligence And Software Engineering AGRIC INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Prosiding Seminar Hasil Penelitian dan Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Manajemen eProceeding of TIK Jurnal Pengabdian Sosial PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Ilmiah Inovasi dan Komunikasi Pembangunan Pertanian Jurnal Penelitian Pendidikan Indonesia Bima Journal of Elementary Education Biodik: Jurnal Ilmiah Pendidikan Biologi Jurnal Kefarmasian Indonesia Lire Journal (Journal of Linguistics and Literature) Jurnal Pendidikan Progresif International Journal of Learning Media on Natural Science Jurnal Teknologi Rekayasa Informasi dan Komputer Balance: Jurnal Ekonomi
Salahuddin Salahuddin
Fakultas Tarbiyah dan Keguruan UIN Alauddin Makassar
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Journal : Journal Of Artificial Intelligence And Software Engineering

 1 
Analysis and Optimization of a Buffet Pricing Strategy in the Telecommunication Industry Using the Particle Swarm Optimization (PSO) Algorithm Merdikawati, Silvia; Oktaviani, Revina Dwi; Salahuddin, Salahuddin; Khadijah, Afni
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6954

Abstract

Flat-rate pricing (buffet pricing) is a common strategy in the global telecommunications industry, yet its adoption in Indonesia remains limited due to regulatory challenges, network capacity constraints, and diverse customer preferences. This study aims to optimize buffet pricing by considering user segmentation and varied service consumption patterns. A metaheuristic approach, specifically Particle Swarm Optimization (PSO), is employed to determine the optimal pricing that maximizes operator profit while maintaining customer satisfaction. A customer demand model is developed using a triangular distribution to reflect the asymmetric variability of usage. Results indicate that heavy users benefit significantly from flat-rate plans, whereas light users are better served by a hybrid pricing scheme. PSO demonstrates superior adaptability and efficiency compared to conventional methods, particularly when parameter tuning accelerates convergence. The study also highlights the importance of pricing flexibility to address heterogeneous customer needs. This study offers practical contributions to the development of data-driven, competitive pricing strategies in the evolving telecommunications market.
Aplication IoT for Monitoring and Automatic Control of Water Levels Using Virtuino Salahuddin, Salahuddin; Bakhtiar, Bakhtiar; Akbar, Muhammad Ramzil; Munazzar, Sayed; Nasir, Muhammad
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6894

Abstract

Control and monitoring of water tanks in the Information and Computer Technology (ICT) Building of the Lhokseumawe State Polytechnic still experience limitations regarding filling and supervision in the tank. Water will continue to fill the tank and indirectly will result in energy waste and can also cause damage to the pump if the water in the main well has run out. The automatic monitoring and control system for filling water tanks for the Information and Computer Technology building uses ATmega 328 as a microcontroller that will control the entire system, Ultrasonic Sensors to measure water levels, relays as pump automation, flow meter sensors as detectors of water flow to the tank and the esp8266 module is used to send data to android using the virtuino application. Monitoring the water level when filling this tank is expected to be one step in saving water and energy. Based on testing, the average delay response of the virtuino display using WiFi and simcard. The delay on and off the pump will be calculated. This condition can be overcome by implementing the internet of things (IoT) on the tank in the Information and Computer Technology Building. The system to be built uses the Virtuino display.
Air Temperature and Humidity Monitoring System for Server Rooms and Data Centers Using the Fuzzy Tsukamoto Method with IoT JB, Salwa Nur; Huzaeni, Huzaeni; Salahuddin, Salahuddin
Journal of Artificial Intelligence and Software Engineering Vol 4, No 2 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i2.6132

Abstract

Lhokseumawe State Polytechnic has UPT Information and Communication Technology (ICT) Data Center that manages important infrastructure for the teaching and learning process. This study aims to design and build an IoT-based air temperature and humidity monitoring system, using Fuzzy Tsukamoto algorithms to handle highly variable sensor data. Blackbox testing showed that the system managed to provide real-time server room condition information and send notifications when conditions reached a certain limit. Turning the AC on and off and incandescent lamps also work well. Whitebox testing successfully ensures that Tsukamoto's Fuzzy algorithm is implemented correctly and that hardware integration runs without problems. The Blackbox test managed to achieve 100% da success on and the Whitebox only achieved 100% on both Tests.
Rancang Bangun Aplikasi Machine Learning Pemilihan Varietas Bibit Jagung Unggul Menggunakan Algoritma Artificial Neural Network (ANN) Berbasis Web Fitria, Ainul; Salahuddin, Salahuddin; Rizka, Muhammad
Journal of Artificial Intelligence and Software Engineering Vol 4, No 1 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i1.5401

Abstract

Jagung atau dalam bahasa latin Zea Mays merupakan adalah salah satu dari jenis tanaman pangan dari keluarga rumput-rumputan yang dikelompokkan dalam tanaman biji-bijian. Jagung memiliki banyak varietas. Adapun varietas yang telah dilepas oleh Menteri Pertanian hingga Oktober tahun 2022 sebanyak 361 varietas, yaitu jagung hibrida sebanyak 298 varietas, jagung komposit sebanyak 59 varietas, dan ada sebanyak 4 varietas jagung hibrida produk rekayasa genetik (PRG). Petani jagung biasanya memilih dan menentukan bibit jagung yang akan dibudidayakan berdasarkan rekomendasi pedagang bibit jagung atau dari rekan sesama petani jagung. Namun demikian sering dijumpai hasil panen jagung tidak sesuai dengan ekspektasi dan target yang diharapkan. Bahkan, tidak jarang petani jagung mengalami gagal panen yang disebabkan oleh beberapa faktor, salah satunya dikarenakan bibit jagung yang dipilih bukan merupakan varietas bibit jagung unggul. Sistem ini dirancang untuk membantu para petani jagung khususnya di daerah Aceh dalam memilih dan menentukan bibit jagung unggul untuk dibudidayakan dengan tujuan mendapatkan hasil panen yang memuaskan. Sistem ini menggunakan algoritma Artificial Neural Network untuk melakukan pemilihan. Artificial Neural Network (ANN) adalah algoritma Machine Learning dengan model komputasi yang terinspirasi dari prinsip kerja otak manusia. Artificial Neural Network digunakan dalam aplikasi ini karena dapat melakukan prediksi dengan akurat. Hasil yang diharapkan dengan adanya sistem ini petani dapat memilih varietas bibit jagung unggul untuk dibudidayakan, sehingga dapat memenuhi kebutuhan stok dalam negeri dengan memanfaatkan komputer dalam tahapan pemilihan bibit unggul. Penerapan algortima ANN Multi Layer Perceptron pada aplikasi ini menggunakan 21 data varietas jagung dengan 504 dataset yang dimasukkan mendapatkan hasil nilai tertinggi dengan persentase akurasi 90,47%. Dengan hasil tersebut, algortima Artificial Neural Network Multi Layer Perceptron dapat digunakan untuk Aplikasi Machine Learning dalam menentukan pemilihan varietas bibit jagung unggul Abstract Corn or in Latin Zea Mays is one of the types of food crops from the grass family which is grouped into grain crops. Corn has many varieties. The varieties that have been released by the Minister of Agriculture until October 2022 are 361 varieties, namely 298 varieties of hybrid corn, 59 varieties of composite corn, and there are as many as 4 varieties of genetically modified (PRG) hybrid corn. Maize farmers usually choose their maize seeds based on recommendations from maize seed traders or fellow maize farmers. However, maize yields are often not in line with expectations and targets. In fact, it is not uncommon for corn farmers to experience crop failure caused by several factors, one of which is because the corn seeds chosen are not superior corn seed varieties. This system is designed to help corn farmers, especially in the Aceh area, in choosing and determining superior corn seeds for cultivation with the aim of getting satisfactory yields. This system uses Artificial Neural Network algorithm to make the selection. Artificial Neural Network (ANN) is a Machine Learning algorithm with a computational model inspired by the working principles of the human brain. Artificial Neural Network is used in this application because it can make accurate predictions. The expected results with this system are that farmers can choose superior varieties of corn seeds to be cultivated, so that they can meet the needs of domestic stocks by utilizing computers in the stages of selecting superior seeds. The application of ANN Multi Layer Perceptron algortima in this application using 21 corn variety data with 504 datasets entered gets the highest value results with an accuracy percentage of 90.47%. With these results, the Artificial Neural Network Multi Layer Perceptron algortima can be used for Machine Learning applications in determining the selection of superior corn seed varieties.
Rancang Bangun Aplikasi Chatbot Untuk Deteksi Pecandu Pornografi Menggunakan Metode Support Vector Machine (SVM) Al Fath, Muhammad Fajar; Salahuddin, Salahuddin; Arhami, Muhammad
Journal of Artificial Intelligence and Software Engineering Vol 4, No 1 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i1.5399

Abstract

Pornografi adalah representasi seksual dalam media yang menampilkan aktivitas seksual dan bahan yang menekankan pada unsur-unsur seksual yang dapat menyebabkan kecanduan. Salah satu faktor penyebab banyaknya pecandu pornografi di masyarakat karena kurangnya kesadaran dan pemahaman terhadap dampak negatif pornografi. Kesadaran diri akan membantu masyarakat terutama generasi muda untuk dapat meninggalkan konten pornografi dan terhindar dari dampaknya dalam jangka panjang. Penelitian ini bertujuan untuk memberikan solusi bagi para pecandu dan masyarakat untuk menghentikan kebiasaan menikmati pornografi dengan cara membuat Chatbot Porn Addict Detection (ChatPAD) menggunakan metode Support Vector Machine(SVM) melalui pendekatan psikologi PAST(Porn Addiction Screening Tool) dengan model pertanyaan Cyber Pornography Inventory Use. Chatbot memiliki fitur untuk mendeteksi tingkat kecanduan seseorang terhadap pornografi sekaligus memberikan pemahaman terhadap dampak bahaya dan cara berhenti dari adiksi pornografi. Hasil penelitian ini, chatbot berhasil memprediksi tingkat kecanduan pornografi dari para pengguna menggunakan metode SVM  dengan akurasi yang baik dan akurat. Tingkat akurasi yang didapatkan berdasarkan pengujian confusion matrix mencapai 98.3% pada label_2 dan label_3 sedangkan tingkat akurasi terendah terletak pada label_1. Hasil presisi tertinggi dimiliki oleh label_1 dengan angka 98.4% diikuti label_0 sedangkan presisi terendah adalah label_4. Hasil recal tertinggi adalah 87.8% dari label_2 sedangkan terendah adalah 7.14% dari label_1. Hasil f1-score mencatatkan label_2 memiliki hasil tertinggi dengan score 91.1%. Berdasarkan hasil pengujian tersebut maka diperlukan peningkatan performa pada label_1 karena memiliki f1-score dan recall yang rendah.  AbstractPornography is a sexual representation in the media that displays sexual activities and materials that emphasize sexual elements that can cause addiction. One of the factors causing the number of pornography addicts in society is due to a lack of awareness and understanding of the negative effects of pornography. Self-awareness will help the community, especially the younger generation, to be able to leave pornographic content and avoid its impact in the long run. This research aims to provide solutions for addicts and the community to stop the habit of enjoying pornography by creating a Porn Addict Detection Chatbot (ChatPAD) using the Support Vector Machine (SVM) method through the PAST (Porn Addiction Screening Tool) psychology approach with the Cyber Pornography Inventory Use question model. The chatbot has features to detect the level of addiction of a person to pornography as well as provide understanding of the harmful effects and how to stop pornography addiction. The results of this study, the chatbot successfully predicts the level of pornography addiction of users using the SVM method with good and accurate accuracy. The accuracy level obtained based on confusion matrix testing reaches 98.3% on label_2 and label_3 while the lowest accuracy level is located on label_1. The highest precision result is owned by label_1 with 98.4% followed by label_0 while the lowest precision is label_4. The highest recall result is 87.8% from label_2 while the lowest is 7.14% from label_1. The f1-score results recorded label_2 has the highest result with a score of 91.1%. Based on the test results, it is necessary to improve the performance of label_1 because it has a low f1-score and recall.
Co-Authors Abdul Kadir Abdurrahman, Dede Abdurrazaq Abdurrazaq, Abdurrazaq Adipratiwi, Nadia Afni Khadijah Agil Al Fatah, Muhammad Akbar, Muhammad Ramzil Akhyar Akhyar Al Fath, Muhammad Fajar Al Usrah, Cut Rizka Alfikri Siregar, Tio Nanda Alhadi, Sahrul Alhadi, Syahrul Ali Djamhuri Almukarramah Almutawallid, Almutawallid Alwi , La Ode Alya, Nauriel Amirullah -, Amirullah Andini Sundowo Andri Hidayat, Andri Anggraini, Dhea Dwi Anita Desiani Anita Fauziah, Anita Anwar Anwar Apriadi, Apriadi Ardiansyah, A. Arhami, Muhammad Ariyani, Titin Armaya, Nursella Indah Asmawati Asmawati Asriati Asriati, Asriati Aulia Aulia Aulia, Annisa Rizka Awaluddin Hamzah Azhar Azhar Azhar Bafadal, Azhar Bahtiar Bahtiar Bakhtiar Bakhtiar Bakri Yusuf, Bakri Bashir, Yuslan Buana, Tjandra Bunaya, Siti Chaniago, Fransisko Darman Darman Daru Winarti, Daru Daud, L Dedi Fariadi Dedi Sastradika Dewi Fortuna Dewi Hasanah Dian Agustina Dima, Darsilan Djoko Kisworo DM, Mohd. Yusuf Dyah Utari Yusa Wardhani EDI SAPUTRA Eka Damayanti Ekafitrianda, J. M. Erniati Erniati ERWAHYUNI ENDANG PRABANDARI Fadiel, Teuku Muhammad Fadlilah Fadlilah Fadlilah Fahrullah Fahrullah Farah Salsabila, Farah fathushahib, fathushahib Fatihah, Nurul Hidayat S.Kom. Fatmawati, Fatmawati Fazilla, Dian Ferry Kurniawan, Ferry Fikram, Roy Firmansyah Firmansyah Fitri, Ainun Fitria, Ainul Fitriani Fitriani Fitriani, Nurul Fransisko Chaniago Fujiko, Masita Furda, Yani Prihatina Furqan, M Ginting, Rachel Ardana Putra Gusnarib, Gusnarib habibah, ummi Haeril, Haeril Halfin, La Ode Hariati Lestari Harmadi Harmadi Hartina Batoa Harun, Hamzah Hasriati Hasriati, Hasriati Hendrawaty Hendrawaty, Hendrawaty Hendriani, Sutri Hisein , Waode Siti Anima Husaini Husaini Husna, Muflihun Bil Huzaeni, Huzaeni Idrus Salam Iqbal, Lailul Irakusuma, Ratna Nur Fatimah Irfansyah Irfansyah Irham Irham Irwan Irwan Iskandar Iskandar Iskandar, Andi Dheviani Oksaputri Islamy, Jalin Atma Isnani Isnani Isnian, Sitti Nur Jamaluddin, Aisyah Jayadisastra, Yoenita Jazila, Ulfa JB, Salwa Nur Jessica, Melia Junesti, Nadia K, Rahmana Emran Karnedi Karnedi, Karnedi Kembaren, Emmia Tambarta KHADAFI, MUHAMMAD Laila Nazirah Lesnida, Lesnida Mahdi Mahdi, Mahdi Mahlil, Mahlil Mahmud MY Maknuun. S, Lu’luil Mardin, Mardin Marselia , Maya Mega Bagus Herlambang Meilvinasvita, Dwi Milda Surgani Firdania, Milda Surgani Misbahul Jannah Mistiani, Wiwin MISYKAT MALIK IBRAHIM Mitha Mitha, Mitha Mualla, Said Mufida, Nabila Muhammad Aswar Limi Muhammad Davi Muhammad Hanafi Muhammad Isra Muhammad Nasir Muhammad Rizka, Muhammad Mukhlisin, Kharazzi Munandar, M Tajul Munirwan Zani, Munirwan Munza, Luthfia Musadar Mappasomba N. Nazaruddin Nasyratullah, Fadillah Neneng Hasanah Neni, Neni Nilahayati Nirwan Nirwan Niya, Wa Ode Nur NL, Puspa Dewi Noferianto Sitompul Noferianto Sitompul Nofriadi, Nanang Nugraha Syafroni, Roni Nur Asyik, Nur Nuraida, Waode Nurakmalinda, Nurakmalinda Nurarifah, Rina Nurhaliza, Nurhaliza NURHAYU MALIK, NURHAYU Nuryani Rustaman Oktaviani, Revina Dwi Paratu, Inda PARLUHUTAN, PARLUHUTAN Parto, Parto Permana, Djaka Pransiska, Susy Purnama, Boby Yasman Purwanti, Rahayu Endah Putu Arimbawa, Putu R. Rusli Rahayu, Besse Resky Rahmad Hidayat Rahmani, Dirratu Rahmayanti Rahmayanti Rahni , Nini Mila Raiyan, Muhammad Ramadani, Syah Putri ramadoan, syahri Rela, Iskandar Zainuddin Rifai Rini Susiani Rizkiani, Firliah Rosnini, Wa Ode Sitti Rozal, Edi S. Anhar, Ades Safiah, Safiah Safira, Putri Julia Safriadi Safriadi Said Said, Said Sakunti, Sri Ramdayeni Samsul Bahri Saputra, Ikra Saragih, Geofani Milthree Sari, Rati Dewisna Sauri, Sauri Sayed Munazzar Septian, I Gede Nano Setyagustina, Kurniasih Shabilli, Andika Mazid Shabilli Silvia Merdikawati Simbolon, Zulfan Khairil Siti Nurasiah, Siti Sri Untari Puji Rejeki Sriatun Sriatun Subhina, Yusma Suci Fitriani, Suci Sugeng Sapto Surjono Sukmawati Abdullah Sulmiyati Sulmiyati Suntoko, Suntoko Susilawati, Fidar Syahmi, Wahilman Syahrini, Elvira Syahrul Azmi Taufik, Yani Taufiq Taufiq Tirani, Nia Triyogo Varianto, Yohanes Ardhito Utama, Gusneli Waluyo, Danang Wanandi, Hafidh Rizki Wasariana, Wasariana Widdha Mellyssa Widi Purwianingsih Wulansari, Reni Wunawarsih, Ima Astuty Yani, Lilis Yassir Yassir Yenny Novita Yusman, Yusman