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Design of a Temperature Control and Object Motion Detection System in the Server Room Using IOT-Based Wemos D1 Rizky Hidayat; Novriyenni Novriyenni; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.318

Abstract

Servers play an important role in managing information and managing network traffic within an agency. It contains various types of network devices that must be kept on every day to provide the best service. This leads to the importance of maintaining server presence, such as paying attention to room humidity, regulating temperature and monitoring server room movements to keep it under control. The air temperature in the server room is set within 20 - 25 degrees Celsius with a relative humidity of 40 - 55%. In this context, the concept of the Internet of Things (IoT) emerges as a potential solution by connecting physical objects via the internet. This research designs and builds an IoT-based temperature control and object motion detection system using a DHT22 sensor to measure the temperature in the room and a PIR sensor to detect human movement. Hardware components such as Wemos D1, Buzzer, Relay 2 channel 5v, and others are used to control the system via a smartphone. The software used includes the Arduino IDE. This system aims to monitor and control room temperature and object movement detection systems intelligently, prevent overheating, reduce the risk of loss and combine the advantages of IoT technology to create a temperature control and motion detection system that is responsive to room temperature and the movement of objects in the room.
Design Of An LPG Leak Detection System Using Iot Based MQ-2 Sensor Mhd. Iqbal Prananda; Siswan Syahputra; Mili Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.337

Abstract

The IoT-based LPG gas leak detection system with MQ-2 and automatic regulator aperture is designed to protect the environment from the dangers of gas leaks and optimize gas use. The MQ-2 sensor is used to detect LPG gas accurately and sensitively. This system is connected to IoT which allows remote monitoring via smart devices. When the sensor detects that the LPG gas concentration exceeds a safe threshold, the system will send an alert with notification and automatically activate the regulator to cut off the gas supply. This helps prevent the accumulation of harmful gases. This design combines reliable gas detection with automatic operation to improve environmental safety and gas efficiency. LPG gas is very commonly used by the community because it has many advantages, but there are also many risks associated with using LPG gas, such as poisoning, shortness of breath and even fire. It is therefore important to have a leak detection system to prevent accidents that may occur, by integrating the programmable MQ-2 sensor and NoteMCU ESP8266.
APLIKASI PELAPORAN KERUSAKAN JALAN DAN FASILITAS UMUM DIKOTA BINJAI MENGGUNAKAN METODE BASED FILTERING Herdiansyah Harahap; Rusmin Saragih; Siswan Syahputra
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i2.224

Abstract

Aplikasi Pelaporan kerusakan jalan dan fasilitas umum di Kota Binjai berbasis android, di Indonesia mulai di terapkan seiring berkembang nya teknologi sehingga dapat memudahkan dalam penyampaian kerusakan jalan yang berada di Kota Binjai kepada Pemerintahan agar segera dilakukan perbaikan, dapat memberikan informasi kepada masyarakat di Kota Binjaitentang informasi perbaikan pekerjaan jalan dan juga dapat menghasilkan laporan berbentuk foto jalan yang rusak , dengan menentukan lokasi pelaporan kerusakan jalan, tingkat kerusakan jalan di setiap kecamatan di Kota Binjai dan status tingkat kerusakan jalan. Untuk memudahkan pengguna dalam melaporkan suatu kerusakan baik itu jalan maupun fasilitas umum maka dibangun sistem pelaporan kerusakan jalan dan fasilitas umum menggunakan Android dan dengan menerapkan suatu metode Based Filtering sebagai system rekomendasi, sehingga dapat mempermudah pengguna dalam melaporkan suatu kerusakan pada jalan maupun fasilitas umum. Berdasarkan hasil pengujian bahwasannya Aplikasi Pelaporan ini dapat berjalan dengan lancar dan sesuai dengan diharapkan oleh pengguna dalam melaporkan suatu kerusakan pada jalan maupun fasilitas umum.
DATA MINING PENGELOMPOKAN INDUSTRI KECIL DAN MENENGAH BERDASARKAN HASIL PRODUKSI MENGGUNAKAN METODE CLUSTERING DI KABUPATEN LANGKAT Lidya Hasna; Relita Buaton; Siswan Syahputra
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i2.299

Abstract

Industri Kecil dan Menengah (IKM) adalah rangkaian kegiatan dan ekonomi yang meliputi pengolahan, pengerjaan, pengubahan, perbaikan bahan baku atau barang setengah jadi menjadi barang yang berguna dan lebih bermanfaat untuk pemakaian dan usaha jasa yang menunjang berbagai kegiatan. Pada saat ini, jumlah IKM di Kabupaten Langkat terus meningkat, banyaknya data IKM yang pengelompokannya masih acak dan tidak teratur menyebabkan bagian Perindustrian cukup kesulitan dalam mengelompokan data IKM tersebut berdasarkan Kecamatan, Jenis Industri dan Hasil Produksi.Tujuan dari penelitian ini adalah untuk menerapkan Algoritma K-Means dalam mengelompokan data IKM di Kabupaten Langkat serta untuk memberikan informasi tambahan mengenai perkembangan dan pertumbuhan IKM yang berada di Kabupaten Langkat. Diperoleh hasil pengelompokan menjadi 3 cluster yaitu pada cluster 1 berjumlah 7 data dimana kelompok industri kecil dan menengah pada Kecamatan (X) Kutambaru dengan Jenis Industri (Y) adalah Industri makanan ringan dan Hasil produksi (Z) adalahTempe, cluster 2 berjumlah 6 dimana kelompok industri kecil dan menengah pada Kecamatan (X) Sawit Seberang dengan Jenis Industri (Y) adalah kerajinan/anyaman dan Hasil produksi (Z) adalah Ukir Batu akik, dan cluster 3 berjumlah 6 data dimana kelompok industri kecil dan menengah pada Kecamatan (X) Brandan Barat dengan Jenis Industri (Y) adalah Bangunan/Mebel/Logam dan Hasil produksi (Z) adalah Industri Kayu.
Sistem Pakar Mengidentifikasi Kegemaran Anak Dalam Proses Belajar Menggunakan Metode Certainty Factor Berbasis Web (Studi Kasus : RA Wildan) Alma Diana Rangkuti; Relita Buaton; Siswan Syahputra
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 1 (2022): Volume 6, Nomor 1, Januari 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i1.378

Abstract

Perkembangan dapat mempengaruhi kegemaran atau minat yang terjadi pada anak, yang dipengaruhi oleh dua faktor yaitu perkembangan fisik dan perkembangan kognitif. Perkembangan kognitif berperan penting karena dapat menentukan jenis kegemaran yang membantu menentukan minat yang akan memetakan arah pemilihan studi dan pengembangan diri untuk mendapatkan kompetensi dan keterampilan yang dibutuhkan oleh anak. Banyak guru yang masih bingung bagaimana mengetahui perkembangan kognitif anak karena keterbatasan pengetahuan yang mereka miliki. Sistem pakar merupakan suatu sistem yang dirancang untuk dapat menirukan keahlian seorang pakar dalam menjawab pertanyaan dan memecahkan masalah. Dimana keahlian pakar inilah yang akan memudahkan guru dalam mengetahui proses perkembangan anak dan membantu menentukan stimulasi yang tepat. Certainty Factor adalah salah satu metode dari sistem pakar yang dapat melihat apakah sebuah fakta bersifat pasti atau tidak pasti dan dapat memberikan hasil yang akurat yang didapatkan dari perhitungan dari bobot gejala yang dipilih oleh pakar dan mampu memberikan jawaban pada permasalahan yang tidak pasti hasilnya.
ANALISIS METODE K-NEAREST NEIGHBOUR (KNN) DALAM KLASIFIKASI DATA IRIS BUNGA Permana Putra; Akim Manaor Hara Pardede; Siswan Syahputra
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 1 (2022): Volume 6, Nomor 1, Januari 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i1.401

Abstract

Penelitian ini menjelaskan penggunaan metode k-nearest neighbor(K-NN) terhadap klasifikasi data iris bunga dari UCI machine learning. Di dalam penelitian ini dilakukan beberapa tahapan dan metode. Pada tahapan penelitian ini menggunakan metode k-nearest neighbor (K-NN) untuk pengujian dengan nilai K tertentu. Pada pengukuran hasil klasifikasi data iris bunga berfokus pada tingkat akurasi data iris bunga. Di dalam penelitian ini data yang d gunakan yaitu sebanyak 135 data iris bunga yang berasal dari UCI machine learning. Pengukuran jarak pada K-NN dalam penelitian ini menggunakan euclidean distance dengan nilai ketetanggan 3,4,5,6,7,8,9. Dari implementasi yang di peroleh yaitu klasifikasi k-nearest neighbor terhadap data iris bunga. Dalam penelitian ini akan dilakukan proses penentuan jenis bunga iris, dalam penentuan bungairis tersebut digunakan 4 faktor yang merupakan karakteristik sendiri dari bunga iris tersebut. Keempatfaktor karakteristik bunga iris yang digunakan untuk penelitan yaitu sepal length, sepal width,petal length, dan petal width. Adapun dari hasil pengujian metode K-Nearest Neighbor dalam klasifikasi data. Adapun pengujian penulis menggunakan variasi nilai K K-Nearest Neighbor 3,4,5,6,7,8,9. Memiliki persentase akurasi yang sangat baik di dibandingkan hanya K-NN. Hasil pengujian menunjukan metode K-Nearest Neighbor dalam klasifikasi data memiliki akurasi persentase yang baik ketika menggunakan data random. Persentase variasi nilai K K-Nearest Neighbor 3,4,5,6,7,8,9memiliki persentase 100 % .
Diagnosa Tingkat Kolesterol Pada Remaja Menggunakan Metode Dempster Shafer Pujiani Pujiani; Magdalena Simanjuntak; Siswan Syahputra
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 2 No. 4 (2024): November : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v2i4.2452

Abstract

Teenagers are the age group from 10 years to before the age of 23 years. Adolescent health efforts aim to prepare adolescents to become healthy, intelligent, qualified and productive adults who play a role in maintaining, maintaining and improving their own health. In its grouping, cholesterol is included in the steroid group, which is a type of lipid that is not connected and is a fatty substance that has the property of not dissolving in the blood, which in the transportation process requires the help of protein to form particles which are usually called lipoproteins. Lipoprotein itself has several types, including LDL (low density lipoprotein), HDL (high density lipoprotein), triglycerides and total cholesterol. Dempster Shafer is the Dempster Shafer Method, also known as belief function theory. This method uses Belief, which is a measure of the strength of evidence in supporting a set of propositions. If the value is 0 (zero), it indicates that there is no evidence, and if the value is 1, it indicates that there is certainty. Based on the weight values ​​given by experts for each data on symptoms of cholesterol disease in adolescents, from the results of the analysis carried out in the previous chapter, the results of the diagnosis of cholesterol disease in adolescents were obtained, namely Low Density Lipoprotein (LDL) disease with a density value of 73.81%.
Sistem Pakar Mendiagnosa Penyakit Radang Kulup Pada Pria Menggunakan Metode Case Based Reasoning Nike Alpio Rizky; Relita Buaton; Siswan Syahputra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.310

Abstract

Balanitis is an inflammatory disease of the tip of the penis that commonly occurs in uncircumcised men as a result of poor hygiene and aeration or because of irritation by smegma and in many cases preputial dysfunction is a causal or contributing factor. Balanitis generally attacks uncircumcised men, characterized by the glans and foreskin becoming red and inflamed. In circumcised men who do not have a foreskin, these symptoms only affect the tip of the penis. This condition often occurs due to the fungus Candida albicans, the same organism that causes vaginal yeast infections in women. Balanitis (which is also referred to as balanoposthitis) can also be caused by various other fungal or bacterial infections, or can occur due to sensitivity reactions to common chemicals. Diabetes can increase the chance of developing balanitis, especially if blood sugar is not well controlled. Currently, people who experience illness or events that have not occurred before in the genitals will consult or diagnose their illness with a specialist in skin diseases to find out what disease they are experiencing. This requires time, energy and costs just to consult a doctor. The aim of conducting this research is that currently there is no system for diagnosing inflammation of the male foreskin. For this reason, the author will create an alternative application system that can diagnose diseases that occur in the male genitals more easily by asking questions about the symptoms or events experienced as factors in the disease and providing a percentage value regarding the severity of the disease experienced.
Penentuan Penerimaan Bantuan Masyarakat Menggunakan Metode Weight Product (WP) Baina Sahara; Budi Serasi Ginting; Siswan Syahputra
Journal of Computer Science and Informatics Engineering Vol 1 No 4 (2022): Oktober
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v1i4.208

Abstract

Nangka Village, North Binjai District, Binjai City is one of the villages that proposes and distributes assistance to the community. The current problem in the scheme of assistance to the community is the inaccuracy of recipient data. This can raise concerns that if there is no improvement it will lead to social conflict in the community. Efforts that can be made to overcome these problems in recording and determining the people who are entitled to receive assistance for the community are by using a Decision Support System (SPK) with the Weighted Product (WP) Method to implement the determination of acceptance of community assistance. The criteria used are income, number of dependent children, floor area, type of house wall, home ownership status, source of lighting, cooking fuel, and education of the head of the household
Diagnosis Gangguan Permasalahan Layanan Telkom menggunakan Metode Dempster Shafer Putri Riswana; Novriyenni Novriyenni; Siswan Syahputra
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.228

Abstract

The increasing complexity of public demand for telecommunication services, particularly internet services, has pushed PT. Telkom, as one of the state-owned enterprises (SOEs), to continuously enhance the quality of its services. One of its flagship products, Indihome, offers faster internet connectivity compared to dial-up services. However, Indihome has been frequently criticized by customers due to service disruptions. This indicates a need for developing effective strategies to address customer complaints. The primary issue faced by the public is the lack of knowledge regarding service disruptions, leading to difficulties in explaining the problem to technicians for repair. This research aims to develop a Telkom service disruption diagnosis system that can assist the public in identifying issues early without direct consultation with an expert. The system is developed using an expert system method, where information about service disruptions is processed to generate accurate diagnoses. With this system, customers can identify the type of disruption and provide clearer information to Telkom technicians. The research findings indicate that the most common disruptions are caused by faulty adapters or modems and disconnected configurations, with a density value of 54.49%. This system is expected to improve Telkom’s public service quality, minimize customer complaints, and expedite the repair process for Indihome services.