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Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Published by Universitas Hasyim Asy'ari
ISSN : 31090117     EISSN : 25487795     DOI : -
Core Subject : Science,
Computer Science & IT
INOVATE: Jurnal Ilmiah Inovasi Teknologi Informasi adalah jurnal ilmiah yang diterbitkan oleh Fakultas Teknologi Informasi, yang bertujuan untuk menampung dan mempublikasikan hasil penelitian yang dilakukan oleh dosen dan mahasiswa dari program studi Teknik Informatika, Sistem Informasi, serta Ilmu Komputer. Jurnal ini berfungsi sebagai wadah untuk pengembangan ilmu pengetahuan di bidang teknologi informasi, dengan penekanan pada inovasi serta penerapan teknologi terbaru dalam menyelesaikan permasalahan yang ada di masyarakat dan industri. Fokus utama jurnal ini meliputi penelitian yang berkaitan dengan bidang teknologi informasi, sistem informasi, rekayasa perangkat lunak, serta ilmu komputer. Setiap artikel yang diterbitkan dalam jurnal ini melalui proses review yang ketat, dengan tujuan memberikan kontribusi yang signifikan terhadap pengembangan teori, konsep, serta aplikasi dalam dunia teknologi informasi. Selain itu, jurnal ini juga bertujuan untuk memfasilitasi kolaborasi antara akademisi dan praktisi guna mendorong implementasi solusi teknologi yang relevan dengan kebutuhan industri serta perkembangan sosial yang dinamis. INOVATE diterbitkan secara berkala dengan frekuensi dua kali setahun dan terbuka untuk publikasi berbagai jenis artikel, termasuk penelitian dasar, pengembangan teknologi, serta studi kasus yang mengangkat inovasi di bidang sistem informasi, kecerdasan buatan, dan teknologi berbasis web maupun mobile.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 216 Documents
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SISTEM INFORMASI KONTROL KUALITAS AIR BUDIDAYA IKAN LELE DALAM EMBER OTOMATIS BERDASARKAN AMONIA DAN PH BERBASIS IOT MENGGUNAKAN METODE FUZZY MAMDANI Imamuddin , Muhammad; Mashuri , Chamdan; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6193

Abstract

This research aims to develop an Automatic Water Quality Control Information System based on IoT for catfish farming in buckets, using the fuzzy Mamdani method to measure Ammonia and pH levels. The background of this study involves the Sido Mulyo Dukuhdimoro Community Group, which has experienced a decline in harvest yields due to water quality issues. The current handling of Ammonia is done manually and is ineffective, necessitating technology that can address this problem.One proposed solution is the use of an IoT system that utilizes Ammonia and pH sensors to monitor water conditions in real-time. The use of fuzzy Mamdani logic is also suggested to enhance the automatic control system for Ammonia and pH levels. Based on experiments and implementations by the researchers, it is concluded that the fuzzy Mamdani method successfully monitors and controls water quality in IoT-based catfish farming. In 9 instances of blackbox testing, 2 discrepancies were found in the information system's water quality degree due to sensor differences and reference data. However, the water quality control system based on Ammonia and pH performed well. Calibration tests for Ammonia and pH using the Mutual Acceptance of Data (MAD) formula resulted in a difference of 0.01428 for Ammonia sensors (6 tests with an Ammonia test kit) and 0.01666 for pH sensors (7 tests with a digital pH meter).The automatic control system successfully maintains Ammonia and pH levels within a safe range for catfish, which is 0-0.6 ppm for Ammonia and pH 6.5-8.5. (BBPBAT, 2005). Keywords: Ammonia, pH, Sido Mulyo Community Group, BUDIKDAMBER, Catfish, Fuzzy Mamdani Logic, Automatic Control System, IoT.
SISTEM REKOMENDASI JURUSAN BERBASIS WEB DENGAN MENGGUNAKAN METODE K-MEANS (STUDI KASUS : SMKN 1 JOMBANG) Nur David , Muhammad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6194

Abstract

Vocational education is a part of education that prepares students to work in a specific field and enables them to perform in a particular group of occupations. Therefore, in every new academic year, every student who wishes to enroll in a vocational school (SMK) will have to choose a major during their time at the school. The usual selection process for new students in vocational schools involves considering their academic records and other criteria. In order to address this issue and take into account students' interests, the author will develop a website that incorporates a department recommendation system for new students, applying the K-means method as a means of clustering new students. This is expected to provide a solution to the school's problem and assist in guiding new students based on their interests. K-Means clustering is a non-hierarchical clustering method that groups data into clusters or groups. The data will be grouped into clusters with similar characteristics, resulting in less variation in the shapes of the grouped data.The result of this research is the creation of a department recommendation system that is useful for prospective new students to receive recommendations on the major they should pursue through the department recommendation system. This is achieved by clustering the scores obtained by the students from the questions they have answered. The system aims to facilitate prospective new students in choosing the major they will pursue. keywords : Department Recommendation System, K-Means, value.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SANTRI TELADAN PADA MADRASAH DINIYYAH ROUDLOTUL QUR’AN DENGAN MENGGUNAKAN METODE TOPSIS Sholihah , Niswatus; Mufarrihah , Iftitaahul; Widoyoningrum , Sri
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6195

Abstract

This research designs and implements a decision support system (DSS) for determining model students. The purpose is to overcome the fading enthusiasm for learning among students due to repetitive daily activities and to maximize the effectiveness of the educational program that has been designed. Used topsis method as the rank algorithm, this studied evaluates the extent to which students excel in both accepting and implementing the educational program. The results of the conducted analysis show that the system is capable of automatically determining rank based on the input data for each criterion. Based on the input data, the obtained results indicate that Nadia Roudhotul H achieves a score of 0.9971, followed by K Salma Aziza with a score of 0.9892. And the third rank is Yutnia Fatimah with a score of 0.9871. Keywords: DSS, Model Students, TOPSIS.
IMPLEMENTASI INTERNET OF THINGS UNTUK ALAT PEMBERIAN MAKAN IKAN OTOMATIS DAN MONITORING SUHU AIR Thorikul Sidiq , Mukti; Heru Mujianto , Ahmad
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6196

Abstract

The maintenance of ornamental fish is currently quite popular among many people. Proper care must be carried out to ensure that the fish can grow and develop healthily. One important aspect to consider is the accuracy in providing regular feedings and maintaining the water temperature in the aquarium. However, busy schedules or time constraints often hinder the regular feeding of fish, leading to irregular feedings. Additionally, the condition of the aquarium must also be monitored, such as maintaining the water temperature at a safe level for the fish's health. The implementation of the Internet of Things (IoT) is used as a monitoring and control system for this device. This research is conducted to address the weaknesses of the manual fish feeder system and the lack of attention to water temperature. This device is also a development from previous research aimed at improving the effectiveness of fish care. The testing results have concluded the performance of this device. The device functions well as an automatic fish feeder according to the predetermined schedule and can monitor water temperature through the Bylink application. With the use of microcontroller and IoT, this automatic fish feeder and water temperature monitoring device can be implemented. It is expected that this device will enable fish owners to feed their fish more regularly and timely and accurately monitor the water temperature, thus making fish maintenance more effective. Keywords: Fishkeeping, Internet of Things (IoT), temperature monitoring, Blynk application, microcontroller.
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PADI BERKUALITAS MENGGUNAKAN METODE TOPSIS (STUDI KASUS: DESA WOROMARTO KEDIRI) Rizky Firmansyah , Teguh; Mashuri , Chamdan
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6198

Abstract

Selection of quality rice seeds affects rice yields in Indonesia, because rice is one of the staple foods of Indonesian citizens. The selection of quality rice can be done using the Topsis method. Researchers use the Topsis method because it can measure the relative performance of alternative decisions in a simple mathematical form to determine the quality of rice. With the TOPSIS method, the preference value of each alternative is calculated with predetermined criteria. The research was obtained through surveys and observations conducted in Woromarto Village. The results of the study state that the system developed provides recommendations for selecting the best rice effectively. Inpari 32 consistently gets the highest rating based on predetermined criteria, followed by Memberamo and Ciherang. This shows that Inpari 32 is the optimal choice for selecting high quality rice in Woromarto Village. System implementation has been tested and proven successful. Users can easily enter quality attribute data from each rice alternative into the system, and the system will generate recommendations based on a comparison of preference values. This application runs smoothly and meets the expected requirements. Keywords: Selection of Rice Seeds, Determination of Quality Rice, TOPSIS Method, Woromarto Village, Application Performance.
ANCANG BANGUN ALAT MONITORING DAN DETEKSI BANJIR SECARA REAL TIME BERBASIS NODEMCU ULTRASONIK HC SR04 MENGGUNAKAN APLIKASI BLYNK Muqtada , Riqza; Mufarrihah , ftitaahul; Augusta Jannatul Firdaus , Reza
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6199

Abstract

Flood disasters in villages often occur due to the rainy season and human errors such as throwing garbage in the river etc. Losses occur because residents are not prepared for disasters that will occur. This study uses the Internet of things (IoT) method, namely to connect devices to the internet network using a wifi network. From the research results DESIGN OF REAL TIME MONITORING AND FLOOD DETECTION TOOLS BASED ON NODEMCU ULTRASONIC HC SR04 USING THE BLNYK APPLICATION as follows: 2. When the sensor detects the water level, the buzzer will sound and the LED will light up at each water level. 3. Test results: • SAFE water level from 0-11 • STANDBY water level from 11-21 • DANGER water level from 21-25 4. After that we can see water level data through the Blynk application or on a laptop. From the results of the research and discussion that has been carried out to answer each topic of the problem, it can be concluded that the use of NodeMCU as hardware and the HC-SR04 ultrasonic sensor in combination with the Blynk application can provide a solution for monitoring and detecting floods in real-time. Keywords: River, Internet Of Things (IOT), Blynk, Ultrasonic Sensors.
PENENTUAN SAPI BERKUALITAS DENGAN METODE SMART (SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE) DI PASAR NGORO BERBASIS WEB Stevent Andreuw , Ahmad; Dwi Indriyanti , Aries
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6202

Abstract

Determination of quality cow is a very important aspect in the livestock industry. To help meet this need, we have developed a web-based system that uses the SMART (Simple Multi Attribute Rating Technique) method to help determine quality cow in the Ngoro Market. This system is designed to provide the best cow recommendations based on the preferences of three respondents. The SMART method is used to overcome challenges in making multi-criteria decisions by considering the relevant attributes. In our system, we integrate cow attribute information such as legs, back, ears, tail, hump, lips and rump. This data was collected through interviews with the three respondents, who have experience in the trade in selecting quality cow. The test results show that the application can run smoothly and according to what is required. This system is able to provide the best cow recommendations based on respondents' preferences with Pak Darmin's results of 0.45. Thus assisting buyers in selecting quality cow more efficiently. By using this system, buyers can quickly obtain information on the cows that meet their criteria, and can make smarter and more informed decisions. The use of this system in the Ngoro Market is expected to increase the effectiveness and efficiency of the process of determining quality cow. With a system that provides recommendations based on respondents' preferences, buyers can save time and effort that was previously used to find quality cow manually. This system also benefits farmers, as it helps increase the visibility and sales of their quality cow in the market. Keywords: SPK, SMART Method, Quality Cow, WEB
ANALISA SENTIMEN PADA REVIEW OPERATOR SELULER 3 (TRIINDONESIA) TERHADAP MEDIA SOSIAL (TWITTER) MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Nur Masita , Desy; Zein Vitadiar , Tanhella; Lazulfa , Indana; Widoyoningrum , Sri
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6203

Abstract

Cellular operators are service products that provide services to users, one of which is cellular operators 3. The use of services by cellular operators has negative and positive ratings, therefore researchers make observations on the use of cellular operators by using sentiment analysis to determine positive or negative values. In the sentiment analysis, the researcher used the naïve Bayes method to draw conclusions from the observed ratings in negative, positive, and neutral forms. Observing this, the researcher conducted an assessment on social networks, namely Twitter. Because on these social networks users can usually express evaluations of whatever they feel like using cellular operators 3. So the results obtained from sentiment assessments can be in the form of tweets such as signal disturbances, internet errors, and regarding good service as a consideration for improving the quality of cellular operators 3. Through this sentiment analysiscan help researchers to easily get a classification of positive, negative and neutral values.Keywords: Cellular Operators, Twitter, Naïve Bayes.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN BARU TEBUIRENG ONLINE MENGGUNAKAN METODE MULTI OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) Amirudin Hidayatulloh , Muhammad; Setyo Permadi , Ginanjar
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6206

Abstract

Employees are one of the most important assets owned by a company in its efforts to maintain survival, development, ability to compete and earn profits. researchers are interested in conducting research at the Tebuireng online Agency using the Multi-Objective Optimizaton on Basis of Ratio Analysis (MOORA) method. The application of the MOORA method is expected to provide benefits to obtain optimal alternative values from a number of alternatives and certain criteria which are then followed by a ranking process. Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) is a multi-objective system that optimizes two or more conflicting attributes simultaneously. This method is applied to solve problems with complex mathematical calculations. researchers created a website-based system to make it easier to make decisions easily and get results that match what the Tebuireng online agency wants. This decision support system is only a system to assist decision makers in determining the optimal choice, not a decision making system. Keywords: Employee, Decision Support System, Moora, Website
RANCANG BANGUN SISTEM INFORMASI BEASISWA MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) (STUDI KASUS : MASS TEBUIRENG) Sawung Sajiyanto , Aldi; Heru Mujianto , Ahmad
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6207

Abstract

Madrasah Aliyah Salafiyah Syafi'iyah (MASS) Tebuireng, one of the formal educational institutions under the auspices of the Hasyim Asy'ari Foundation, also provides opportunities for students who excel to get scholarships and provide assistance to students who come from underprivileged families. Students who will become potential scholarship recipients include students who have parallel rankings, are currently or have memorized the Al-Qur'an, have academic and non-academic achievements, as well as students whose parents are underprivileged. There needs to be a method to build an SPK, one of which is the Simple Multi Attribute Rating Technique (SMART) method. This method is a method in making decisions to handle multi-criteria problems based on calculating the weight of the criteria for each alternative, so as to obtain the best results. The research results have resulted in a decision support system that can assist the MASS Tebuireng leadership in determining and selecting scholarship recipients. Keywords: Scholarship, SMART, Decision Support System.

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